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R_14L9qNxUlipFmsF | 23 | Male | Indian | Tamil | Educated in English, but not my native language | 7 | Sometimes | Laptop | Alina Patel | 3,041,254,855 | 107 Crystal Lake Drive 327 | 399 |
|
R_15Rh8IA5GvyzCIF | 23 | Female | Indian | Marathi | Educated in English, but not my native language | 5 | Sometimes | Phone Recorder | Jarek Ferrari | 1,045,562,375 | 84 River Road 814 | 111 |
|
R_1DN3Yy2ILEefmz8 | 24 | Female | Indian | Hindi | Educated in English, but not my native language | 4 | Sometimes | Phone Recorder | Seraphina Balasubramanian | 43,126,798 | 99 Willow Lane 493 | 292 |
|
R_1KvCEEGNThnpnzy | 24 | Female | Indian | Marathi | Educated in English, but not my native language | 5 | About half the time | Phone Recorder | Saffron Robles | 8,885,112,931 | 48 Ridge Road 407 | 278 |
|
R_1O7z12FZh2bL6ST | 22 | Male | American | English | Native speaker | 0 | Sometimes | Phone Recorder | Zane Robles | 5,993,415,111 | 34 Elm Street 568 | 509 |
|
R_1QrO96YnPAaHofK | 26 | Prefer not to say | Indian | Kannada | Basic knowledge; not fluent | 5 | About half the time | Phone Recorder | Ivan Hwang | 1,928,374,655 | 430 Autumn Lane 274 | 136 |
|
R_1VaNGgPhYxnUTbC | 25 | Male | Indian | Gujarati | Educated in English, but not my native language | 7 | Sometimes | Phone Recorder | Niklas Shah | 5,142,296,612 | 86 Timberline Boulevard 664 | 232 |
|
R_1b0CnNoTm0uIas5 | 23 | Male | Indian | Malayalam | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Ravi Choi | 8,292,159,357 | 48 Ridge Road 407 | 353 |
|
R_1bhWwiBjHlA1GcF | null | Male | Indo-canadian | Hindi | Educated in English, but not my native language | 6 | Sometimes | Phone Recorder | Eric dundas | 7 | 1315 morreene road | 536 |
|
R_1oLUlgQk6qINvsk | 27 | Female | Indian | Kannada | Basic knowledge; not fluent | 7 | About half the time | Phone Recorder | Roshan Coelho | 6,163,483,977 | 77 Maplewood Drive 659 | 152 |
|
R_1poePVg1gzUKUz7 | 24 | Male | North African | Arabic | Educated in English, but not my native language | 4 | Sometimes | Laptop | Juniper Leung | 9,679,778,449 | 60 Pebble Beach Road 743 | 333 |
|
R_1tDKM2lNpA5vaZb | 25 | Female | Indian | Kannada | Educated in English, but not my native language | 1 | Never | Phone Recorder | Sabrina Shirodkar | 9,568,214,730 | 114 Park Avenue, Chicago, IL, 67004 | 741 |
|
R_1wB3pJ1YQM5wyqI | 21 | Male | American | English | Native speaker | 0 | Sometimes | Phone Recorder | Seraphina Ivanov | 2,288,775,400 | 128 Cedar Avenue 401 | 252 |
|
R_1zZKZdkb4iInKK7 | 23 | Male | Chinese | Chinese | Educated in English, but not my native language | 7 | Sometimes | Laptop | Malia Tanaka | 9,281,822,959 | 21 Harbor View Drive 706 | 372 |
|
R_1zin13bSMyOVRnJ | 25 | Female | Chinese | Chinese | Educated in English, but not my native language | 3 | Sometimes | Phone Recorder | Layla Knudsen | 5,363,648,030 | 8 Horizon Avenue 613 | 503 |
|
R_34Kh357EGklz2X7 | 27 | Male | Indian | Hindi | Educated in English, but not my native language | 4 | Sometimes | Laptop | Sable Daniel | 2,488,140,980 | 58 Maple Valley Road 812 | 372 |
|
R_34RasWwKijJI5sB | 22 | Female | Indian | Hindi | Educated in English, but not my native language | 5 | Most of the time | Phone Recorder | Calder Fuchs | 1,855,749,866 | 160 Sunset Drive 885 | 114 |
|
R_34i05S8YXzyAyGE | 26 | Female | Argentinian | Spanish | Educated in English, but not my native language | 5 | Sometimes | Phone Recorder | Isla Santos | 6,537,986,847 | 55 Stonewall Street 335 | 852 |
|
R_3OihBnBKQuMFAz4 | 21 | Female | Indian | Tamil | Educated in English, but not my native language | 4 | Most of the time | Phone Recorder | Aurora Ferrari | 9,299,574,124 | 77 Spruce Way 920 | 174 |
|
R_3f5pnhlvLlxkfu1 | 28 | Male | Argentinian | Spanish | Basic knowledge; not fluent | 7 | Most of the time | Phone Recorder | Elysia Lobo | 2,615,640,089 | 14 Silver Street 964 | 529 |
|
R_3g4JxW8aBdFTYoc | 23 | Female | Indian | Tamil | Educated in English, but not my native language | 7 | About half the time | Phone Recorder | Laila Zhou | 5,116,853,235 | 32 Crystal Springs Boulevard 450 | 134 |
|
R_3gToFAf4MoM9dl8 | 22 | Female | Indian | Marathi | Educated in English, but not my native language | 4 | Sometimes | Phone Recorder | Rami Vasilyev | 7,499,218,381 | 99 Sunnyville Boulevard 342 | 180 |
|
R_3i2ltOSffNPHRfR | 22 | Male | American | English | Native speaker | 0 | Never | Phone Recorder | Ciaran MacLeod | 2,853,006,411 | 5 Ocean Drive 432 | 339 |
|
R_3nAeHdtYMOFbRQJ | 21 | Female | Indian | Hindi | Educated in English, but not my native language | 3 | Sometimes | Phone Recorder | Anannya | 9,196,856,019 | 7204, McQueen Drive | 542 |
|
R_3uvOS0cUzHJeF6p | 24 | Male | Indian | Hindi | Basic knowledge; not fluent | 5 | Sometimes | Phone Recorder | Niko Coelho | 3,053,578,003 | 75 Valley Grove Road 768 | 146 |
|
R_3vhWAQpPNAgLass | 22 | Male | Indian | Telugu | Educated in English, but not my native language | 8 | Sometimes | Laptop | Rowena Taneja | 4,127,415,553 | 456 Birch Boulevard 349 | 266 |
|
R_41aAifnTBI6jslp | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 9 | Sometimes | Phone Recorder | Jorah Morment | 5,286,564,231 | 92 Dragos Khalasar Dothrakhi | 401 |
|
R_41aiHA1p9OLYbuY | 26 | Male | Indian | Marathi | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Ranjendra Pingle | 1,234,567,898 | Flat 202 Roop Ganga Pune | 489 |
|
R_49dhghc8TaDIOhr | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 8 | Sometimes | Phone Recorder | Arya Stark | 1,253,579,821 | 37 Casterly Rock Lannis Port | 480 |
|
R_4Cbjs7mWxj4Ri7v | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 7 | Most of the time | Phone Recorder | Aditi Rampiya | 7,998,735,821 | Lane Number 4, Swimming Pool | 258 |
|
R_4GQeQB9GOpNtRaW | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 7 | Sometimes | Phone Recorder | Taklu Analogs | 7,413,825,402 | 741 Opamps Circuit Lane, Barkha Avenue, Tiwari | 255 |
|
R_4JsyJD7ticKbRiZ | 29 | Female | Indian | Hindi | Basic knowledge; not fluent | 8 | Sometimes | Phone Recorder | Darshana | 123,456,789 | FLAT NO 204 SATSANG SOCIETY THANE MUMBAI 411007 | 499 |
|
R_4M4K1OEOS6Dy9xr | 35 | Male | Indian | Marathi | Educated in English, but not my native language | 7 | Sometimes | Phone Recorder | Ganesh Kathale | 813,546,798 | FLAT NO 701 RAGADARI APARTMENT NASHIK 423440 | 271 |
|
R_4QJpbtn4T8z4ixS | 25 | Male | Indian | Marathi | Educated in English, but not my native language | 8 | Sometimes | Laptop | Jitu Shinde | 7,773,330,000 | FLAT NO 1100 SATSANG COLONY SHAHADA 450089 | 149 |
|
R_4RQSv9iOZkB2f9Z | 24 | Female | Indian | Marathi | Educated in English, but not my native language | 5 | Sometimes | Phone Recorder | Hiroshi Khatri | 4,001,291,474 | 10 Woodland Drive 748 | 397 |
|
R_4TIdkLil27HhMH3 | 22 | Female | Indian | Hindi | Basic knowledge; not fluent | 8 | Sometimes | Phone Recorder | Shubhangi katkar | 9,530,589,346 | Flat no 303 E L Homes Baner pune 411007 | 304 |
|
R_4aYapHeUHBuU8XG | 24 | Female | Indian | Marathi | Educated in English, but not my native language | 6 | Sometimes | Phone Recorder | Soraya Balasubramanian | 2,312,324,633 | 110 Bluebell Lane 973 | 240 |
|
R_4ezaMzei6ssNagt | 23 | Male | Indian | Marathi | Educated in English, but not my native language | 8 | Sometimes | Phone Recorder | Vikas Raj | 6,578,902,300 | FLAT NO 4 RAMBAG SOCIETY BARUCH 390345 | 201 |
|
R_4gezxpDDRaPXKIs | 30 | Male | Indian | Gujrati | Educated in English, but not my native language | 9 | Sometimes | Laptop | Prashant Gandhe | 123,459,876 | PLOT NO 30 PRATIK COLONY SURAT 356003 | 663 |
|
R_4kJncQejh6M9Qxb | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 8 | Sometimes | Phone Recorder | Battli Aroda | 2,512,254,291 | 69 Cubicle, Bathroom Street, UK | 194 |
|
R_4s7PwXExwuw1cZa | 32 | Male | Indian | Hindi | Educated in English, but not my native language | 8 | Sometimes | Phone Recorder | Arjun | 987,654,321 | Plot No 43 Pasaydan Profeesor colony Jagaon 424005 | 251 |
|
R_4shv1y28wS6SaPv | 29 | Female | Indian | Hindi | Educated in English, but not my native language | 4 | Never | Phone Recorder | Mehak | 9,811,219,666 | Fenway park, boston, Massachusetts | 577 |
|
R_4ssmicMjtQagK7v | 39 | Male | Indian | Marathi | Educated in English, but not my native language | 7 | Sometimes | Phone Recorder | Mayur Shah | 9,898,005,600 | FLAT NO 207 SNEHA VIHAR KOLHAPUR 411002 | 787 |
|
R_4zatSIgrUgsETE5 | 23 | Female | Indian | Marathi | Basic knowledge; not fluent | 8 | Sometimes | Phone Recorder | Suman patidar | 9,370,524,963 | Swami sandipani coloney solapur | 310 |
|
R_51hzd8Q0PcCS4Jb | 22 | Male | Indian | Hindi | Educated in English, but not my native language | 4 | Sometimes | Phone Recorder | Harlow Qureshi | 8,829,090,933 | 290 Seaside Boulevard 275 | 394 |
|
R_57WCdr3dpzLNhbe | 26 | Female | Chinese Canadian | Mandarin | Educated in English, but not my native language | 5 | Never | Phone Recorder | Liam Ali | 8,114,844,717 | 3 Meadowbrook Road 874 | 211 |
|
R_5F0Zpg07Mr16uBz | 25 | Female | Indian | English | Native speaker | 5 | Never | Phone Recorder | Harlow Smith | 5,595,476,016 | 45 Ivy Lane 602 | 436 |
|
R_5MRLVafIukImdof | 23 | Male | American | Chinese | Educated in English, but not my native language | 1 | Sometimes | Phone Recorder | Saffron Abraham | 3,788,618,965 | 5 Ocean Drive 432 | 254 |
|
R_5MYVgvg6SSesm0n | 28 | Female | Indian | Hindi | Educated in English, but not my native language | 6 | Sometimes | Phone Recorder | Maxine Jensen | 1,056,058,263 | 40 Westfield Road 207 | 122 |
|
R_5hBj9gxvIoDecnz | 23 | Female | American | Korean | Educated in English, but not my native language | 3 | Sometimes | Phone Recorder | Elise Taylor | 7,285,242,379 | 49 Windy Ridge Avenue 240 | 310 |
|
R_5jebEVEgcwRTOcO | 23 | Prefer not to say | Indian | Telugu | Educated in English, but not my native language | 3 | Sometimes | Phone Recorder | Calder Jackson | 1,808,231,222 | 301 Massachusetts Avenue 1462 | 140 |
|
R_5lWkQMcCDfrgWwV | 25 | Male | Indian | Hindi | Educated in English, but not my native language | 8 | Sometimes | Phone Recorder | Liam Patel | 9,783,812,441 | 52 Golden Ridge Drive 418 | 244 |
|
R_5re0w7ElTMqvkCP | 23 | Female | Indian | Kannada | Educated in English, but not my native language | 3 | Never | Phone Recorder | Beatriz Kim | 4,904,368,573 | 207 Westside Lane 528 | 151 |
|
R_6CxrKuxhJ3GtN8K | 23 | Male | Chinese Canadian | Mandarin | Educated in English, but not my native language | 1 | Sometimes | Phone Recorder | Jon Reifshneider | 1,234,567,890 | 8 Horizon Avenue 613 | 388 |
|
R_6E6ELKr8L1H0RnH | 23 | Female | Chinese | Chinese | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Calla Pereira | 1,709,916,637 | 3 Meadowbrook Road 874 | 972 |
|
R_6pnzU40E9DSpr61 | 23 | Male | American | English | Native speaker | 0 | Sometimes | Phone Recorder | Lennox Anderson | 3,619,713,354 | 11438 SE 184th Pl, Renton WA | 601 |
|
R_6rCTqJtaK9fNxHq | 22 | Female | Indian | Hindi | Educated in English, but not my native language | 6 | Sometimes | Phone Recorder | Isla de Souza | 9,661,113,443 | 52 Golden Ridge Drive 418 | 142 |
|
R_6thxkopa8CNYELv | 24 | Male | American | English | Native speaker | 7 | Never | Phone Recorder | Ziya Ali | 8,178,069,680 | 202 Northgate Drive 512 | 233 |
|
R_77p04jkohla1sH9 | 24 | Female | Chinese | Chinese | Educated in English, but not my native language | 7 | Never | Phone Recorder | Celine Gupta | 1,712,391,906 | 75 Pine Mountain Road 705 | 984 |
|
R_7DHnUtjhzr5gTvl | 24 | Male | Indian | Hindi | Educated in English, but not my native language | 5 | Never | Phone Recorder | Elysia Peinado | 5,473,978,936 | 150 Riverbend Avenue 465 | 359 |
|
R_7EOlSvi9ctgFRBL | 23 | Male | Chinese | Chinese | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Norah Cho | 9,356,122,945 | 75 Pine Mountain Road 705 | 928 |
|
R_7H8pYLcVGrTM7g5 | 23 | Female | Indo-English | English | Native speaker | 1 | Never | Phone Recorder | Freya Hamed | 1,314,559,375 | 78 Sunset Boulevard 789 | 112 |
|
R_7HEfVLTSyuEezdf | 28 | Female | Indian | Hindi | Educated in English, but not my native language | 4 | Sometimes | Phone Recorder | Sanaa Letourneau | 6,686,412,385 | 67 Mountain View Drive 214 | 120 |
|
R_7NCxNP8jSj5mq6n | 26 | Female | Indian | Hindi | Educated in English, but not my native language | 6 | Sometimes | Phone Recorder | Zander Burrows | 4,885,080,040 | 50 Harvest Lane 591 | 195 |
|
R_7OVSal7s7tNbjLO | 24 | Male | Indian | Hindi | Educated in English, but not my native language | 5 | About half the time | Laptop | Asher Singh | 8,717,379,417 | 161 Fairview Street 407 | 276 |
|
R_7QGd13jsljnaCbY | 25 | Female | Indian | Telugu | Educated in English, but not my native language | 5 | Sometimes | Phone Recorder | Harshitha Rasamsetty | 2,873,764,800 | 44 Sand Dune Road 205 | 221 |
|
R_7Vlj2RdVyGOM7Yz | 25 | Female | Indian | Urdu | Educated in English, but not my native language | 5 | Most of the time | Phone Recorder | Solana Chatterjee | 5,735,062,913 | 29 Summer Breeze Lane 571 | 110 |
|
R_7iI7wmwsdCo4PbX | 22 | Female | American | Chinese | Educated in English, but not my native language | 7 | Sometimes | Phone Recorder | Hina Karpov | 8,985,955,886 | 15 Sea Breeze Avenue 823 | 243 |
|
R_7pKNTfB39Yc3I41 | 23 | Male | Middle Asian | Uyghur | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Benji Chatterjee | 6,341,735,686 | 128 Cedar Avenue 401 | 509 |
|
R_7qeKPomI8VjGOsK | 29 | Male | American | English | Native speaker | 2 | Sometimes | External Microphone | Zuri Sutherland | 2,563,144,191 | 56 Pine Tree Lane 640 | 590 |
|
R_14L9qNxUlipFmsF | 23 | Male | Indian | Tamil | Educated in English, but not my native language | 7 | Sometimes | Laptop | Alina Patel | 3,041,254,855 | 107 Crystal Lake Drive 327 | 399 |
|
R_15Rh8IA5GvyzCIF | 23 | Female | Indian | Marathi | Educated in English, but not my native language | 5 | Sometimes | Phone Recorder | Jarek Ferrari | 1,045,562,375 | 84 River Road 814 | 111 |
|
R_1DN3Yy2ILEefmz8 | 24 | Female | Indian | Hindi | Educated in English, but not my native language | 4 | Sometimes | Phone Recorder | Seraphina Balasubramanian | 43,126,798 | 99 Willow Lane 493 | 292 |
|
R_1KvCEEGNThnpnzy | 24 | Female | Indian | Marathi | Educated in English, but not my native language | 5 | About half the time | Phone Recorder | Saffron Robles | 8,885,112,931 | 48 Ridge Road 407 | 278 |
|
R_1O7z12FZh2bL6ST | 22 | Male | American | English | Native speaker | 0 | Sometimes | Phone Recorder | Zane Robles | 5,993,415,111 | 34 Elm Street 568 | 509 |
|
R_1QrO96YnPAaHofK | 26 | Prefer not to say | Indian | Kannada | Basic knowledge; not fluent | 5 | About half the time | Phone Recorder | Ivan Hwang | 1,928,374,655 | 430 Autumn Lane 274 | 136 |
|
R_1VaNGgPhYxnUTbC | 25 | Male | Indian | Gujarati | Educated in English, but not my native language | 7 | Sometimes | Phone Recorder | Niklas Shah | 5,142,296,612 | 86 Timberline Boulevard 664 | 232 |
|
R_1b0CnNoTm0uIas5 | 23 | Male | Indian | Malayalam | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Ravi Choi | 8,292,159,357 | 48 Ridge Road 407 | 353 |
|
R_1bhWwiBjHlA1GcF | null | Male | Indo-canadian | Hindi | Educated in English, but not my native language | 6 | Sometimes | Phone Recorder | Eric dundas | 7 | 1315 morreene road | 536 |
|
R_1oLUlgQk6qINvsk | 27 | Female | Indian | Kannada | Basic knowledge; not fluent | 7 | About half the time | Phone Recorder | Roshan Coelho | 6,163,483,977 | 77 Maplewood Drive 659 | 152 |
|
R_1poePVg1gzUKUz7 | 24 | Male | North African | Arabic | Educated in English, but not my native language | 4 | Sometimes | Laptop | Juniper Leung | 9,679,778,449 | 60 Pebble Beach Road 743 | 333 |
|
R_1tDKM2lNpA5vaZb | 25 | Female | Indian | Kannada | Educated in English, but not my native language | 1 | Never | Phone Recorder | Sabrina Shirodkar | 9,568,214,730 | 114 Park Avenue, Chicago, IL, 67004 | 741 |
|
R_1wB3pJ1YQM5wyqI | 21 | Male | American | English | Native speaker | 0 | Sometimes | Phone Recorder | Seraphina Ivanov | 2,288,775,400 | 128 Cedar Avenue 401 | 252 |
|
R_1zZKZdkb4iInKK7 | 23 | Male | Chinese | Chinese | Educated in English, but not my native language | 7 | Sometimes | Laptop | Malia Tanaka | 9,281,822,959 | 21 Harbor View Drive 706 | 372 |
|
R_1zin13bSMyOVRnJ | 25 | Female | Chinese | Chinese | Educated in English, but not my native language | 3 | Sometimes | Phone Recorder | Layla Knudsen | 5,363,648,030 | 8 Horizon Avenue 613 | 503 |
|
R_34Kh357EGklz2X7 | 27 | Male | Indian | Hindi | Educated in English, but not my native language | 4 | Sometimes | Laptop | Sable Daniel | 2,488,140,980 | 58 Maple Valley Road 812 | 372 |
|
R_34RasWwKijJI5sB | 22 | Female | Indian | Hindi | Educated in English, but not my native language | 5 | Most of the time | Phone Recorder | Calder Fuchs | 1,855,749,866 | 160 Sunset Drive 885 | 114 |
|
R_34i05S8YXzyAyGE | 26 | Female | Argentinian | Spanish | Educated in English, but not my native language | 5 | Sometimes | Phone Recorder | Isla Santos | 6,537,986,847 | 55 Stonewall Street 335 | 852 |
|
R_3OihBnBKQuMFAz4 | 21 | Female | Indian | Tamil | Educated in English, but not my native language | 4 | Most of the time | Phone Recorder | Aurora Ferrari | 9,299,574,124 | 77 Spruce Way 920 | 174 |
|
R_3f5pnhlvLlxkfu1 | 28 | Male | Argentinian | Spanish | Basic knowledge; not fluent | 7 | Most of the time | Phone Recorder | Elysia Lobo | 2,615,640,089 | 14 Silver Street 964 | 529 |
|
R_3g4JxW8aBdFTYoc | 23 | Female | Indian | Tamil | Educated in English, but not my native language | 7 | About half the time | Phone Recorder | Laila Zhou | 5,116,853,235 | 32 Crystal Springs Boulevard 450 | 134 |
|
R_3gToFAf4MoM9dl8 | 22 | Female | Indian | Marathi | Educated in English, but not my native language | 4 | Sometimes | Phone Recorder | Rami Vasilyev | 7,499,218,381 | 99 Sunnyville Boulevard 342 | 180 |
|
R_3i2ltOSffNPHRfR | 22 | Male | American | English | Native speaker | 0 | Never | Phone Recorder | Ciaran MacLeod | 2,853,006,411 | 5 Ocean Drive 432 | 339 |
|
R_3nAeHdtYMOFbRQJ | 21 | Female | Indian | Hindi | Educated in English, but not my native language | 3 | Sometimes | Phone Recorder | Anannya | 9,196,856,019 | 7204, McQueen Drive | 542 |
|
R_3uvOS0cUzHJeF6p | 24 | Male | Indian | Hindi | Basic knowledge; not fluent | 5 | Sometimes | Phone Recorder | Niko Coelho | 3,053,578,003 | 75 Valley Grove Road 768 | 146 |
|
R_3vhWAQpPNAgLass | 22 | Male | Indian | Telugu | Educated in English, but not my native language | 8 | Sometimes | Laptop | Rowena Taneja | 4,127,415,553 | 456 Birch Boulevard 349 | 266 |
|
R_41aAifnTBI6jslp | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 9 | Sometimes | Phone Recorder | Jorah Morment | 5,286,564,231 | 92 Dragos Khalasar Dothrakhi | 401 |
|
R_41aiHA1p9OLYbuY | 26 | Male | Indian | Marathi | Educated in English, but not my native language | 2 | Sometimes | Phone Recorder | Ranjendra Pingle | 1,234,567,898 | Flat 202 Roop Ganga Pune | 489 |
|
R_49dhghc8TaDIOhr | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 8 | Sometimes | Phone Recorder | Arya Stark | 1,253,579,821 | 37 Casterly Rock Lannis Port | 480 |
|
R_4Cbjs7mWxj4Ri7v | 20 | Female | Indian | Hindi | Educated in English, but not my native language | 7 | Most of the time | Phone Recorder | Aditi Rampiya | 7,998,735,821 | Lane Number 4, Swimming Pool | 258 |
Speech Recognition Bias Reduction Project
Executive Summary
Welcome to the Speech Recognition Bias Reduction Project. It aims to create a more inclusive and representative dataset for improving automated speech recognition systems. This project addresses the challenges faced by speakers with non-native English accents, particularly when interacting with automated voice systems that struggle to interpret alphanumeric information such as names, phone numbers, and addresses.
Motivated by my personal experience as an international student moving to the United States in 2024, I aim to reduce delays, misinterpretations, and ineffective communication caused by accent-based biases in current voice recognition technologies.
Objective
The primary goal is to create a diverse dataset of alphanumeric audio inputs. This dataset will focus on audio recordings from speakers with various accents, starting with the vibrant community of international students at Duke University.
It aims to tackle -
Dataset Bias: Reduce native English bias and make voice recognition systems more inclusive.
Efficiency/Equality: In a multicultural society, ensuring equality in access to services is crucial.
Potential Applications
- Improving Voice Recognition: Make speech systems better at understanding accents, especially when it comes to things like spelling out names or reading phone numbers.
- Reducing Bias in AI: Help make voice recognition tech more inclusive by reducing bias against non-native English speakers.
- Linguistic Insights: Provide data to understand how different accents impact the way people say things like phone numbers and addresses.
- Language Learning & Accessibility: Support tools for language learners or accessibility projects, helping AI understand a wider range of speech patterns.
Review of Previous Datasets
Existing audio datasets primarily focus on word and sentence data to enhance representation of diverse accents: Common Voice, VoxCeleb, LibriSpeech. Datasets focusing on “Phonetics” are
- https://catalog.ldc.upenn.edu/LDC93S1: Focuses on American English dialects, which may not adequately represent non-native speakers.
- https://archive.phonetics.ucla.edu/: An extensive archive that could be utilized to up sample the collected data.
- https://en.arabicspeechcorpus.com/ : Valuable for Arabic language processing, but it doesn’t address English accents.
- https://github.com/S-Malek/PCVC: focuses on Modern Persian speech, lacking relevance for English accents.
Novelty
- Focus on Alphanumeric Data: The dataset specifically targets the recognition of letters and numbers, critical for automated systems that handle personal information.
- Diverse Accent Representation: The dataset will prioritize non-native English speakers, enabling a nuanced understanding of how various accents influence recognition accuracy.
- Rich Metadata: Detailed demographic information allows for in-depth analysis and helps identify patterns in recognition challenges faced by different accent groups.
Dataset Description and Collection Protocol / Tools Used
Please refer docs/collection_protocol.md
and docs/dataset_description.md
.
Power Analysis
The calculated sample size is approximately 36 participants per group.
For Group 1, there are 55 data points fulfilling the power analysis expectation. However for Group 2, the data falls short of 29 participants.
Exploratory Data Analysis
The age distribution of participants skews towards the 20–30 age range, reflecting the demographic characteristics of the survey population, which predominantly consists of university students. However, this limited range does introduce age representation bias.
The gender distribution in the dataset is balanced ensuring that models trained on the dataset can generalize reasonably well across genders.
Both nationality and native language distributions reveal noticeable representation bias. A substantial proportion of participants hail from India, likely due to the my community access. This concentration also results in overrepresentation of Hindi (India's national language) and Marathi (my native language). This bias limits the diversity of accents in the dataset. Future users of the dataset may need to augment or balance the data to achieve more equitable representation of accents and linguistic backgrounds.
Despite the class imbalance in the "Familiarity with English" distribution, it effectively captures the necessary data for the intended study, with each group represented. The imbalance is likely a cascading effect of the nationality distribution, as the majority of participants are Indian students who are typically educated in English alongside their native language.
Survey Completion Insights
The average time to complete the survey was approximately 5.9 minutes, indicating that the process was relatively streamlined. However, platform limitations in Qualtrics, which lacks native audio recording capabilities, required participants to record and upload files separately. This additional effort likely contributed to lower participation rates, demonstrating the importance of minimizing participant burden in data collection to improve response rates.
Ethics Statement
The Alphanumeric Audio Dataset was collected with strict adherence to ethical guidelines:
- Informed Consent: Participants were fully informed about the purpose and use of their contributions, with consent obtained before participation.
- Anonymization: All data was anonymized to protect participant privacy, with only non-identifiable metadata included for analysis.
- IRB Approval: The study was reviewed and approved by Duke University's Institutional Review Board (IRB) to ensure compliance with ethical research standards.
- Voluntary Participation: Participation was voluntary, and participants could withdraw their data before public release.
- Responsible Use: The dataset is open-sourced to promote inclusivity in AI research and must be used for ethical, non-discriminatory purposes.
License
This dataset is licensed under the MIT License.
You are free to use, modify, and distribute this dataset for any purpose, including commercially, as long as you include the original copyright notice in all copies or substantial portions of the dataset. The dataset is provided "as is", without warranty of any kind.
Contact Information
For any questions or further information, please contact:
Sakshee Patil
Email: [email protected]
** Few Sections of the README are re-articulated using ChatGPT.
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