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    "reference": "cultural events are also held in these gardens for people to come and enjoy",
    "speakmac_raw_text": "Cultural events are also held in these gardens for people to come and enjoy.",
    "speakmac_final_text": "Cultural events are also held in these gardens for people to come and enjoy.",
    "wispr_raw_text": "Cultural events are also held in these gardens for people to come and enjoy.",
    "wispr_final_text": "Cultural events are also held in these gardens for people to come and enjoy.",
    "wispr_outcome": "formatted",
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    "dataset": "Svarah",
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    "reference": "right from the number of states that make up the country",
    "speakmac_raw_text": "right from the number of states that make up the country.",
    "speakmac_final_text": "Right from the number of states that make up the country.",
    "wispr_raw_text": "Right from the number of states that make up the country",
    "wispr_final_text": "Right from the number of states that make up the country",
    "wispr_outcome": "formatted",
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    "id": "svarah-03-row-148",
    "dataset": "Svarah",
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    "reference": "the promotion of consumption patterns characterized by overexploitation",
    "speakmac_raw_text": "The promotion of consumption patterns characterized by over exploitation.",
    "speakmac_final_text": "The promotion of consumption patterns characterized by overexploitation.",
    "wispr_raw_text": "The promotion of consumption patterns characterized by over-exploitation",
    "wispr_final_text": "The promotion of consumption patterns characterized by over-exploitation",
    "wispr_outcome": "formatted",
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    "id": "svarah-04-row-225",
    "dataset": "Svarah",
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    "duration_seconds": 6.08,
    "reference": "my future aspiration regarding singing is that i want to compile and record",
    "speakmac_raw_text": "My future aspiration regarding singing is that I want to compile and record",
    "speakmac_final_text": "My future aspiration regarding singing is that I want to compile and record",
    "wispr_raw_text": "My future aspiration regarding singing is that I want to compile and record",
    "wispr_final_text": "My future aspiration regarding singing is that I want to compile and record.",
    "wispr_outcome": "formatted",
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    "id": "svarah-05-row-298",
    "dataset": "Svarah",
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    "reference": "that can increase efficiency in housekeeping emarketing through ecommerce and marketled product",
    "speakmac_raw_text": "That can increase efficiency in housekeeping, e marketing through e commerce and market laid products.",
    "speakmac_final_text": "That can increase efficiency in housekeeping, e-marketing through e-commerce, and market-laid products.",
    "wispr_raw_text": "that can increase efficiency in housekeeping e-marketing through e-commerce and market late products",
    "wispr_final_text": "That can increase efficiency in housekeeping, e-marketing through e-commerce and market late products",
    "wispr_outcome": "formatted",
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    "id": "svarah-06-row-374",
    "dataset": "Svarah",
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    "reference": "a freestyle wrestler may instantly win a match by holding both of an opponents scapula to the mat",
    "speakmac_raw_text": "A freestyle wrestler may instantly win a match by holding both of an opponent's capula to the mat.",
    "speakmac_final_text": "A freestyle wrestler may instantly win a match by holding both of an opponent's capula to the mat.",
    "wispr_raw_text": "A freestyle wrestler may instantly win a match by holding both of an opponent's capilla to the mat.",
    "wispr_final_text": "A freestyle wrestler may instantly win a match by holding both of an opponent's legs to the mat.",
    "wispr_outcome": "formatted",
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  {
    "id": "svarah-07-row-445",
    "dataset": "Svarah",
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    "duration_seconds": 8.425,
    "reference": "starting with kukkur puja naraka chaturdashi gayi tihar musi guru tihar and it ends with bhai tika",
    "speakmac_raw_text": "Starting with Kukur Puja, Naraka Chaturtasi, Gai Tihar, Amsi, Guru Tihar, and it ends with Bhaitika.",
    "speakmac_final_text": "Starting with Kukur Puja, Naraka Chaturtasi, Gai Tihar, Amsi, Guru Tihar, and it ends with Bhaitika.",
    "wispr_raw_text": "Starting with Kukur Puja Naraka Chatur Desi Gai Tihar Amusi Goru Tihar and it ends with Bhai Theka",
    "wispr_final_text": "Starting with Kukur Puja Naraka Chatur Desi Gai Tihar Amusi Goru Tihar and it ends with Bhai Theka.",
    "wispr_outcome": "formatted",
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    "id": "svarah-08-row-521",
    "dataset": "Svarah",
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    "reference": "although there are so many other sports",
    "speakmac_raw_text": "Although there are so many other sports,",
    "speakmac_final_text": "Although there are so many other sports,",
    "wispr_raw_text": "Although there are so many other sports",
    "wispr_final_text": "Although there are so many other sports",
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    "id": "svarah-09-row-592",
    "dataset": "Svarah",
    "speech_kind": "real_human_indian_english",
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    "duration_seconds": 3.098,
    "reference": "find all blood banks in district lucknow",
    "speakmac_raw_text": "Find all blood banks in district locknote.",
    "speakmac_final_text": "Find all blood banks in district locknote.",
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    "wispr_final_text": "",
    "wispr_outcome": "no_output",
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    "id": "svarah-10-row-666",
    "dataset": "Svarah",
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    "reference": "there is something like that i dont know it properly",
    "speakmac_raw_text": "There is something like that, I don't know it properly.",
    "speakmac_final_text": "There is something like that. I don't know it properly.",
    "wispr_raw_text": "There is something like that I don't know it properly",
    "wispr_final_text": "There is something like that. I don't know it properly.",
    "wispr_outcome": "formatted",
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    "id": "svarah-11-row-742",
    "dataset": "Svarah",
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    "reference": "we have a composter at our garden in our house",
    "speakmac_raw_text": "We have a composter at our garden in our house and",
    "speakmac_final_text": "We have a composter at our garden in our house.",
    "wispr_raw_text": "We have a composter at our garden in our house",
    "wispr_final_text": "We have a composter at our garden in our house.",
    "wispr_outcome": "formatted",
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    "reference": "which is a tribal majority district would be the healthcare access and the elderly care that they get",
    "speakmac_raw_text": "uh which is a tribal majority district, would be the health care access and the elderly care that they get.",
    "speakmac_final_text": "Which is a tribal majority district, would be the health care access and the elderly care that they get.",
    "wispr_raw_text": "which is a tribal majority district would be the health care access and the elderly care that they get",
    "wispr_final_text": "Which is a tribal majority district would be the health care access and the elderly care that they get?",
    "wispr_outcome": "formatted",
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  {
    "id": "svarah-13-row-888",
    "dataset": "Svarah",
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    "reference": "it is applicable only for crop loans taken during the year 2018 to 2019",
    "speakmac_raw_text": "It is applicable only for crop loans taken during the year 2018 to 2019.",
    "speakmac_final_text": "It is applicable only for crop loans taken during the year 2018 to 2019.",
    "wispr_raw_text": "It is applicable only for crop loans taken during the year 2018 to 2019.",
    "wispr_final_text": "It is applicable only for crop loans taken during the year 2018 to 2019.",
    "wispr_outcome": "formatted",
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    "id": "svarah-14-row-962",
    "dataset": "Svarah",
    "speech_kind": "real_human_indian_english",
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    "duration_seconds": 4.639,
    "reference": "this particular event goes like this shama is the narrator",
    "speakmac_raw_text": "This particular event goes like this. Shama is the narrator",
    "speakmac_final_text": "This particular event goes like this. Shama is the narrator.",
    "wispr_raw_text": "This particular event goes like this. Shama is the narrator.",
    "wispr_final_text": "This particular event goes like this. Shama is the narrator.",
    "wispr_outcome": "formatted",
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    "speech_kind": "real_human_indian_english",
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    "duration_seconds": 5.337,
    "reference": "i would like to turn on the notifications for offers and rewards in google pay",
    "speakmac_raw_text": "I would like to turn on the notifications for offers and rewards in Google Pay.",
    "speakmac_final_text": "I would like to turn on the notifications for offers and rewards in Google Pay.",
    "wispr_raw_text": "I would like to turn on the notifications for offers and rewards in Google Pay.",
    "wispr_final_text": "I would like to turn on the notifications for offers and rewards in Google Pay.",
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    "duration_seconds": 3.774,
    "reference": "the problem that i faced was a lot of",
    "speakmac_raw_text": "uh the problem that I faced was a lot of",
    "speakmac_final_text": "The problem I faced was a lot of",
    "wispr_raw_text": "The problem that I faced was a lot of",
    "wispr_final_text": "The problem that I faced was a lot of",
    "wispr_outcome": "formatted",
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      "wer_percent": 11.1,
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    "id": "svarah-17-row-1185",
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    "duration_seconds": 10.134,
    "reference": "who is physically challenged or disordered in real life but with the guts and a great contribution in the literature",
    "speakmac_raw_text": "was physically challenged or disordered in real life, but with the guts and a great contribution mm in the literature",
    "speakmac_final_text": "Was physically challenged or disordered in real life, but with the guts and a great contribution to the literature.",
    "wispr_raw_text": "Who is physically challenged or disordered in real life but with the guts and a great contribution in the literature?",
    "wispr_final_text": "Who is physically challenged or disordered in real life but with the guts and a great contribution in the literature?",
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    "id": "svarah-18-row-1271",
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    "duration_seconds": 6.462,
    "reference": "and i always used to focused and drive sincerely thank you",
    "speakmac_raw_text": "And I always used to focused and drive sincerely. Thank you.",
    "speakmac_final_text": "I always used to focus and drive sincerely. Thank you.",
    "wispr_raw_text": "And I always used to focus and drive sincerely. Thank you.",
    "wispr_final_text": "And I always used to focus and drive sincerely. Thank you.",
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    "reference": "CONCORD RETURNED TO ITS PLACE AMIDST THE TENTS",
    "speakmac_raw_text": "Concord returned to its place amidst the tents,",
    "speakmac_final_text": "Concord returned to its place amidst the tents.",
    "wispr_raw_text": "Concord returned to its place amidst the tents.",
    "wispr_final_text": "Concord returned to its place amidst the tents.",
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    "reference": "THE INMATES BEING REMOVED AT THE APPOINTED HOUR A FEW CANNON BALLS WERE FIRED THROUGH THE STONE WALLS",
    "speakmac_raw_text": "The inmates being removed, at the appointed hour a few cannon balls were fired through the stone walls,",
    "speakmac_final_text": "The inmates being removed, at the appointed hour, a few cannon balls were fired through the stone walls.",
    "wispr_raw_text": "the inmates being removed at the appointed hour a few cannon balls were fired through the stone walls",
    "wispr_final_text": "The inmates being removed at the appointed hour, a few cannon balls were fired through the stone walls.",
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  {
    "id": "libri-03-8463-294828-0023",
    "dataset": "LibriSpeech",
    "speech_kind": "real_human_read_english",
    "category": null,
    "duration_seconds": 4.745,
    "reference": "YOU SEE MY FRIEND IT'S AN ISSUE OF THE MONSTER THE NOTORIOUS NARWHALE",
    "speakmac_raw_text": "You see, my friend, it's an issue of the monster, the notorious Norwal,",
    "speakmac_final_text": "You see, my friend, it's an issue of the monster, the notorious Norwal.",
    "wispr_raw_text": "You see, my friend, it's an issue of the monster. The notorious narwhal.",
    "wispr_final_text": "You see, my friend, it's an issue of the monster, the notorious narwhal.",
    "wispr_outcome": "formatted",
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    "wispr_final": {
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  {
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    "dataset": "LibriSpeech",
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    "duration_seconds": 3.67,
    "reference": "TWO HUNDRED WARRIORS FEASTED IN HIS HALL AND FOLLOWED HIM TO BATTLE",
    "speakmac_raw_text": "Two hundred warriors feasted in his hall and followed him to battle.",
    "speakmac_final_text": "Two hundred warriors feasted in his hall and followed him to battle.",
    "wispr_raw_text": "Two hundred warriors feasted in his hall and followed him to battle.",
    "wispr_final_text": "Two hundred warriors feasted in his hall and followed him to battle.",
    "wispr_outcome": "formatted",
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    "wispr_raw": {
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    "wispr_final": {
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    "reference": "I FELT IT IN MY BONES WHEN I WOKE THIS MORNING THAT SOMETHING SPLENDID WAS GOING TO TURN UP",
    "speakmac_raw_text": "I felt it in my bones when I woke this morning that something splendid was going to turn up.",
    "speakmac_final_text": "I felt it in my bones when I woke this morning that something splendid was going to turn up.",
    "wispr_raw_text": "I felt it in my bones when I woke this morning that something splendid was going to turn up.",
    "wispr_final_text": "I felt it in my bones when I woke this morning that something splendid was going to turn up.",
    "wispr_outcome": "formatted",
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    "wispr_raw": {
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    "wispr_final": {
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    "reference": "DO WE REALLY KNOW THE MOUNTAIN WELL WHEN WE ARE NOT ACQUAINTED WITH THE CAVERN",
    "speakmac_raw_text": "Do we really know the mountain well when we are not acquainted with the cavern?",
    "speakmac_final_text": "Do we really know the mountain well when we are not acquainted with the cavern?",
    "wispr_raw_text": "Do we really know the mountain well when we are not acquainted with the cavern?",
    "wispr_final_text": "Do we really know the mountain well when we are not acquainted with the cavern?",
    "wispr_outcome": "formatted",
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    "dataset": "LibriSpeech",
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    "reference": "ONLY THERE ARE TWO SORTS OF CLOUD AND FIRE",
    "speakmac_raw_text": "Only there are two sorts of cloud and fire.",
    "speakmac_final_text": "Only there are two sorts of cloud and fire.",
    "wispr_raw_text": "Only, there are two sorts of cloud and fire.",
    "wispr_final_text": "Only there are two sorts of cloud and fire.",
    "wispr_outcome": "formatted",
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      "reference_words": 9,
      "substitutions": 0,
      "deletions": 0,
      "insertions": 0,
      "errors": 0
    },
    "speakmac_database_id": 422,
    "wispr_database_id": "b60ce8c3-0325-4081-bae9-83c3e522c28a",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "libri-08-4970-29093-0007",
    "dataset": "LibriSpeech",
    "speech_kind": "real_human_read_english",
    "category": null,
    "duration_seconds": 6.995,
    "reference": "IT IS SUCH A NOBLE AMBITION THAT IT IS A PITY IT HAS USUALLY SUCH A SHALLOW FOUNDATION",
    "speakmac_raw_text": "It is such a noble ambition, that it is a pity it has usually such a shallow foundation.",
    "speakmac_final_text": "It is such a noble ambition, but it is a pity it usually has such a shallow foundation.",
    "wispr_raw_text": "It is such a noble ambition that it is a pity it has usually such a shallow foundation.",
    "wispr_final_text": "It is such a noble ambition that it is a pity it has usually such a shallow foundation.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.0,
      "wer_percent": 0.0,
      "reference_words": 18,
      "substitutions": 0,
      "deletions": 0,
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    },
    "speakmac_final": {
      "wer": 0.16666666666666666,
      "wer_percent": 16.7,
      "reference_words": 18,
      "substitutions": 1,
      "deletions": 1,
      "insertions": 1,
      "errors": 3
    },
    "wispr_raw": {
      "wer": 0.0,
      "wer_percent": 0.0,
      "reference_words": 18,
      "substitutions": 0,
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    },
    "wispr_final": {
      "wer": 0.0,
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      "reference_words": 18,
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    },
    "speakmac_database_id": 423,
    "wispr_database_id": "1a02cb4e-461a-47ab-a9e2-aa13735f707a",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "libri-09-237-134493-0012",
    "dataset": "LibriSpeech",
    "speech_kind": "real_human_read_english",
    "category": null,
    "duration_seconds": 3.66,
    "reference": "I GET WET TO MY KNEES WHEN I GO DOWN TO PICK CHERRIES",
    "speakmac_raw_text": "I get wet to my knees when I go down to pick cherries.",
    "speakmac_final_text": "I get wet to my knees when I go down to pick cherries.",
    "wispr_raw_text": "I get wet to my knees when I go down to pick cherries",
    "wispr_final_text": "I get wet to my knees when I go down to pick cherries.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.0,
      "wer_percent": 0.0,
      "reference_words": 13,
      "substitutions": 0,
      "deletions": 0,
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    },
    "speakmac_final": {
      "wer": 0.0,
      "wer_percent": 0.0,
      "reference_words": 13,
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    },
    "wispr_raw": {
      "wer": 0.0,
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      "reference_words": 13,
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    },
    "wispr_final": {
      "wer": 0.0,
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      "reference_words": 13,
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    },
    "speakmac_database_id": 424,
    "wispr_database_id": "ede1d9a4-f851-4768-b7e8-d2379ffbc349",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-01-names-numbers",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "names_numbers",
    "duration_seconds": 26.819,
    "reference": "On Tuesday, July 28, I emailed Priya about Speakmac version 5.2.1. The invoice was $1,274.50, and the meeting moved from 9:15 in the morning to 10:40. Please rename the project Blue Lantern, not Blue Landing, then send Kiran a launch checklist, a 10-day schedule, and a short note explaining why on-device transcription matters.",
    "speakmac_raw_text": "On Tuesday, July 28, I emailed PriyR about SpeakMac version 5.2.1. The invoice was $1,274.50, and the meeting moved from 9.15 in the morning to 10.40, please rename the project Blue Lantern, not Blue Landing, then send Kiran a launch checklist, a 10-day schedule, and a short note explaining why on device transcription matters.",
    "speakmac_final_text": "On Tuesday, July 28, I emailed PriyR about SpeakMac version 5.2.1. The invoice was $1,274.50, and the meeting moved from 9.15 in the morning to 10.40, please rename the project Blue Lantern, not Blue Landing, then send Kiran a launch checklist, a 10-day schedule, and a short note explaining why on device transcription matters.",
    "wispr_raw_text": "On Tuesday, July 28th, I emailed Priya about SpeakMac version 5.2.1. The invoice was 1274 dollars and 50 cents, and the meeting moved from 9.15 in the morning to 10.40. Please rename the project Blue Lantern, not Blue Landing, then send Kiran a launch checklist, a 10-day schedule, and a short note explaining why on-device transcription matters.",
    "wispr_final_text": "On Tuesday, July 28th, I emailed Priya about SpeakMac version 5.2.1. The invoice was $1,274.50, and the meeting moved from 9:15 in the morning to 10:40. Please rename the project Blue Lantern, not Blue Landing, then send Kiran a launch checklist, a 10-day schedule, and a short note explaining why on-device transcription matters.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.05660377358490566,
      "wer_percent": 5.7,
      "reference_words": 53,
      "substitutions": 2,
      "deletions": 0,
      "insertions": 1,
      "errors": 3
    },
    "speakmac_final": {
      "wer": 0.05660377358490566,
      "wer_percent": 5.7,
      "reference_words": 53,
      "substitutions": 2,
      "deletions": 0,
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    },
    "wispr_raw": {
      "wer": 0.11320754716981132,
      "wer_percent": 11.3,
      "reference_words": 53,
      "substitutions": 2,
      "deletions": 0,
      "insertions": 4,
      "errors": 6
    },
    "wispr_final": {
      "wer": 0.018867924528301886,
      "wer_percent": 1.9,
      "reference_words": 53,
      "substitutions": 1,
      "deletions": 0,
      "insertions": 0,
      "errors": 1
    },
    "speakmac_database_id": 425,
    "wispr_database_id": "742cc09f-48ed-46e8-938d-54ff5a22b2a8",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-02-technical",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "technical",
    "duration_seconds": 18.69,
    "reference": "Open the API log for request ID AB-2047. The response was HTTP 429 at 14:06, not 404. Export the JSON file to slash Users slash Kiran slash Desktop, then restart version 3.11.8.",
    "speakmac_raw_text": "Open the API log for request IDAB-2047. The response was http429 at 1406. Not 404. Export the JSON file to slash user slash kir and slash desktop, then restart version 3.11.8.",
    "speakmac_final_text": "Open the API log for request IDAB-2047. The response was http429 at 1406. Not 404. Export the JSON file to slash user slash kir and slash desktop, then restart version 3.11.8.",
    "wispr_raw_text": "open the API log for request ID AB-2047 the response was http 429@1406 not 404 export the JSON file to/users/kiran/desktop then restart version 3.11.8",
    "wispr_final_text": "Open the API log for request ID AB-2047. The response was HTTP 429@1406, not 404. Export the JSON file to /users/kiran/desktop, then restart version 3.11.8.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.21875,
      "wer_percent": 21.9,
      "reference_words": 32,
      "substitutions": 4,
      "deletions": 2,
      "insertions": 1,
      "errors": 7
    },
    "speakmac_final": {
      "wer": 0.21875,
      "wer_percent": 21.9,
      "reference_words": 32,
      "substitutions": 4,
      "deletions": 2,
      "insertions": 1,
      "errors": 7
    },
    "wispr_raw": {
      "wer": 0.3125,
      "wer_percent": 31.2,
      "reference_words": 32,
      "substitutions": 2,
      "deletions": 8,
      "insertions": 0,
      "errors": 10
    },
    "wispr_final": {
      "wer": 0.28125,
      "wer_percent": 28.1,
      "reference_words": 32,
      "substitutions": 2,
      "deletions": 7,
      "insertions": 0,
      "errors": 9
    },
    "speakmac_database_id": 426,
    "wispr_database_id": "0672f517-3e2d-4817-91ef-803663520b2a",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-03-correction",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "correction",
    "duration_seconds": 12.186,
    "reference": "I need the blue presentation for Thursday\u2014actually, make that Friday. Send it to Naina and Arjun, remove the old pricing slide, and keep the sentence: privacy should be the default, not an upgrade.",
    "speakmac_raw_text": "I need the blue presentation for Thursday, actually, make that Friday, send it to Nina and Arjun, remove the old pricing slide, and keep the sentence, privacy should be the default, not an upgrade.",
    "speakmac_final_text": "I need the blue presentation for Thursday, actually, make that Friday. Send it to Nina and Arjun. Remove the old pricing slide, and keep the sentence: privacy should be the default, not an upgrade.",
    "wispr_raw_text": "i need the blue presentation for thursday actually make that friday send it to nina and arjun remove the old pricing slide and keep the sentence privacy should be the default not an upgrade",
    "wispr_final_text": "I need the blue presentation for Friday. Send it to Nina and Arjun. Remove the old pricing slide and keep the sentence: \"Privacy should be the default, not an upgrade.\"",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.09090909090909091,
      "wer_percent": 9.1,
      "reference_words": 33,
      "substitutions": 2,
      "deletions": 0,
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      "errors": 3
    },
    "speakmac_final": {
      "wer": 0.09090909090909091,
      "wer_percent": 9.1,
      "reference_words": 33,
      "substitutions": 2,
      "deletions": 0,
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      "errors": 3
    },
    "wispr_raw": {
      "wer": 0.09090909090909091,
      "wer_percent": 9.1,
      "reference_words": 33,
      "substitutions": 2,
      "deletions": 0,
      "insertions": 1,
      "errors": 3
    },
    "wispr_final": {
      "wer": 0.12121212121212122,
      "wer_percent": 12.1,
      "reference_words": 33,
      "substitutions": 1,
      "deletions": 3,
      "insertions": 0,
      "errors": 4
    },
    "speakmac_database_id": 427,
    "wispr_database_id": "385a54fd-cae0-4538-b521-1c4b1b3f055e",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-04-metrics",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "metrics",
    "duration_seconds": 17.017,
    "reference": "Revenue increased from 18.4 percent to 21.7 percent. We received 306 trials, 47 paid orders, and 12 refunds. The total was 8,905 rupees, not 8,095.",
    "speakmac_raw_text": "Revenue increased from 18.4% to 21.7%. We received 306 trials, 47 paid orders, and 12 refunds. The total was 8,905 five rupees, not eight thousand and ninety-five.",
    "speakmac_final_text": "Revenue increased from 18.4% to 21.7%. We received 306 trials, 47 paid orders, and 12 refunds. The total was 8,905 five rupees, not eight thousand and ninety-five.",
    "wispr_raw_text": "Revenue Increased from 18.4% to 21.7% We received 306 Trials 47 Paid Orders and 12 Refunds The total was 8905 Rupees not 8095",
    "wispr_final_text": "Revenue increased from 18.4% to 21.7%. We received 306 trials, 47 paid orders, and 12 refunds. The total was \u20b98,905, not \u20b98,095.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.28,
      "wer_percent": 28.0,
      "reference_words": 25,
      "substitutions": 1,
      "deletions": 2,
      "insertions": 4,
      "errors": 7
    },
    "speakmac_final": {
      "wer": 0.28,
      "wer_percent": 28.0,
      "reference_words": 25,
      "substitutions": 1,
      "deletions": 2,
      "insertions": 4,
      "errors": 7
    },
    "wispr_raw": {
      "wer": 0.08,
      "wer_percent": 8.0,
      "reference_words": 25,
      "substitutions": 0,
      "deletions": 2,
      "insertions": 0,
      "errors": 2
    },
    "wispr_final": {
      "wer": 0.2,
      "wer_percent": 20.0,
      "reference_words": 25,
      "substitutions": 2,
      "deletions": 3,
      "insertions": 0,
      "errors": 5
    },
    "speakmac_database_id": 428,
    "wispr_database_id": "0224e71a-4468-48ac-9fc7-684bd6d9210c",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-05-indian-names",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "indian_names",
    "duration_seconds": 11.677,
    "reference": "Meet Shreya at Indiranagar Metro Station at 6:30 p.m. Then call Harish from Mangaluru about the Kundalahalli Gate address and invoice number KA-560066.",
    "speakmac_raw_text": "Meet Shreyar at Indiranaga Metro Station at 6 30 pm then call Harish from Mangluru about the Kundlahalli gate address and invoice number Ka 5LX 6066.",
    "speakmac_final_text": "Meet Shreyar at Indiranaga Metro Station at 6:30 pm. Then, call Harish from Mangluru about the Kundlahalli gate address and invoice number Ka 5LX 6066.",
    "wispr_raw_text": "Meet Shreyar at Indigamet. Meet Harish from Mangluru about the Kundalahalli Gate address and invoice. Ka5",
    "wispr_final_text": "Meet Shreyar at Indigamet. Meet Harish from Mangluru about the Kundalahalli Gate address and invoice. Ka5",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.391304347826087,
      "wer_percent": 39.1,
      "reference_words": 23,
      "substitutions": 6,
      "deletions": 0,
      "insertions": 3,
      "errors": 9
    },
    "speakmac_final": {
      "wer": 0.30434782608695654,
      "wer_percent": 30.4,
      "reference_words": 23,
      "substitutions": 5,
      "deletions": 0,
      "insertions": 2,
      "errors": 7
    },
    "wispr_raw": {
      "wer": 0.5217391304347826,
      "wer_percent": 52.2,
      "reference_words": 23,
      "substitutions": 5,
      "deletions": 7,
      "insertions": 0,
      "errors": 12
    },
    "wispr_final": {
      "wer": 0.5217391304347826,
      "wer_percent": 52.2,
      "reference_words": 23,
      "substitutions": 5,
      "deletions": 7,
      "insertions": 0,
      "errors": 12
    },
    "speakmac_database_id": 429,
    "wispr_database_id": "b0f2c3c0-2404-43c4-b7ae-ec4e2919c629",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-06-disfluent",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "disfluency",
    "duration_seconds": 11.29,
    "reference": "Okay, so, um, I think we should keep the microphone selector where it is. No, wait\u2014move it below the language menu, but don't change the recording shortcut or the cleanup setting.",
    "speakmac_raw_text": "Okay, so, um, I think we should keep the microphone selector where it is, no, wait, move it below the language menu, but don't change the recording shortcut or the cleanup setting.",
    "speakmac_final_text": "We should keep the microphone selector where it is. Wait, move it below the language menu, but don't change the recording shortcut or the cleanup setting.",
    "wispr_raw_text": "Ok, so, um, I think we should keep the microphone selector where it is. No, wait, move it below the language menu, but don't change the recording shortcut or the clean up setting.",
    "wispr_final_text": "Ok I think we should keep the microphone selector where it is. Move it below the language menu but don't change the recording shortcut or the clean up setting.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.06451612903225806,
      "wer_percent": 6.5,
      "reference_words": 31,
      "substitutions": 1,
      "deletions": 0,
      "insertions": 1,
      "errors": 2
    },
    "speakmac_final": {
      "wer": 0.22580645161290322,
      "wer_percent": 22.6,
      "reference_words": 31,
      "substitutions": 2,
      "deletions": 5,
      "insertions": 0,
      "errors": 7
    },
    "wispr_raw": {
      "wer": 0.16129032258064516,
      "wer_percent": 16.1,
      "reference_words": 31,
      "substitutions": 3,
      "deletions": 0,
      "insertions": 2,
      "errors": 5
    },
    "wispr_final": {
      "wer": 0.22580645161290322,
      "wer_percent": 22.6,
      "reference_words": 31,
      "substitutions": 3,
      "deletions": 3,
      "insertions": 1,
      "errors": 7
    },
    "speakmac_database_id": 430,
    "wispr_database_id": "41839210-679b-4765-8f8b-cfa59d7c9a9a",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-07-email-path",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "email_path",
    "duration_seconds": 9.532,
    "reference": "Please send the build log to Maya dot Rao plus release at example dot com, and save the file under slash Users slash JD slash Desktop slash July Reports.",
    "speakmac_raw_text": "Please send the build log to my.raw plus release at example.com and save the file under slash user slash jd slash desktop slash july reports.",
    "speakmac_final_text": "Please send the build log to my.rawplus@example.com and save the file under /user/jd/desktop/july reports.",
    "wispr_raw_text": "Please send the build log to maya.rowplusreleaseatexample.com and save the file under slash users slash JD slash desktop slash July reports.",
    "wispr_final_text": "Please send the build log to maya.rowplusrelease@example.com and save the file under /users/JD/desktop/July reports.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.2413793103448276,
      "wer_percent": 24.1,
      "reference_words": 29,
      "substitutions": 3,
      "deletions": 4,
      "insertions": 0,
      "errors": 7
    },
    "speakmac_final": {
      "wer": 0.5862068965517241,
      "wer_percent": 58.6,
      "reference_words": 29,
      "substitutions": 2,
      "deletions": 15,
      "insertions": 0,
      "errors": 17
    },
    "wispr_raw": {
      "wer": 0.3103448275862069,
      "wer_percent": 31.0,
      "reference_words": 29,
      "substitutions": 1,
      "deletions": 8,
      "insertions": 0,
      "errors": 9
    },
    "wispr_final": {
      "wer": 0.5862068965517241,
      "wer_percent": 58.6,
      "reference_words": 29,
      "substitutions": 2,
      "deletions": 15,
      "insertions": 0,
      "errors": 17
    },
    "speakmac_database_id": 431,
    "wispr_database_id": "acbd46ee-8443-4d89-bb42-d2d15a7ea71c",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-08-code-model",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "alphanumeric",
    "duration_seconds": 9.194,
    "reference": "The access code is alpha seven K nine dash four two Q. The device is MacBook Pro model A two nine nine two, and the ticket is S M dash zero zero eight one.",
    "speakmac_raw_text": "The access code is alpha 7K9-42Q the device is MacBook Pro Model A two nine nine two, and the ticket is SM-0081.",
    "speakmac_final_text": "The access code is alpha 7K9-42Q. The device is MacBook Pro Model A2992, and the ticket is SM-0081.",
    "wispr_raw_text": "The Access Code is alpha7k9-42q The Device is MacBook Pro Model A2992 and the Ticket is SM-0081",
    "wispr_final_text": "The Access Code is alpha7k9-42q. The Device is MacBook Pro Model A2992 and the Ticket is SM-0081.",
    "wispr_outcome": "formatted",
    "speakmac_raw": {
      "wer": 0.4117647058823529,
      "wer_percent": 41.2,
      "reference_words": 34,
      "substitutions": 2,
      "deletions": 12,
      "insertions": 0,
      "errors": 14
    },
    "speakmac_final": {
      "wer": 0.5588235294117647,
      "wer_percent": 55.9,
      "reference_words": 34,
      "substitutions": 3,
      "deletions": 16,
      "insertions": 0,
      "errors": 19
    },
    "wispr_raw": {
      "wer": 0.5882352941176471,
      "wer_percent": 58.8,
      "reference_words": 34,
      "substitutions": 3,
      "deletions": 17,
      "insertions": 0,
      "errors": 20
    },
    "wispr_final": {
      "wer": 0.5882352941176471,
      "wer_percent": 58.8,
      "reference_words": 34,
      "substitutions": 3,
      "deletions": 17,
      "insertions": 0,
      "errors": 20
    },
    "speakmac_database_id": 432,
    "wispr_database_id": "05c0fbca-753e-46a4-84d3-84f3de1cfe07",
    "wispr_mic_device": "Auto-detect (BlackHole 2ch)",
    "wispr_app_version": "1.6.224"
  },
  {
    "id": "stress-09-list-time",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
    "category": "list_time",
    "duration_seconds": 10.242,
    "reference": "Three follow-ups. First, email Naina. Second, review the launch deck. Third, schedule the Bengaluru call for Thursday at four forty-five p.m.",
    "speakmac_raw_text": "Three follow-ups, first, email Nena, second, review the launch deck, third, schedule the Bengaluru call for Thursday at 4.45 p.m.",
    "speakmac_final_text": "Three follow-ups, first, email Nena, second, review the launch deck, third, schedule the Bengaluru call for Thursday at 4.45 p.m.",
    "wispr_raw_text": "Three follow-ups. First, email Nena. Second, review the launch deck. Third, schedule the Bengaluru call for Thursday at 4.45 pm.",
    "wispr_final_text": "Three follow-ups:\n\n<ol>\n<li>Email Nena.</li>\n<li>Review the launch deck.</li>\n<li>Schedule the Bengaluru call for Thursday at 4:45 pm.</li>\n</ol>",
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  {
    "id": "stress-10-budget-correction",
    "dataset": "Controlled stress",
    "speech_kind": "synthetic_controlled",
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    "reference": "Set the budget to eight hundred and fifty rupees per day. No, make that nine hundred and fifty, and pause the United Kingdom campaign, not Germany.",
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    "speakmac_final_text": "Set the budget to 850 rupees per day. No, make that 950, and pause the United Kingdom campaign, not Germany.",
    "wispr_raw_text": "",
    "wispr_final_text": "",
    "wispr_outcome": "no_output",
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