Datasets:
conversation_id int64 | speaker0_audio audio | speaker1_audio audio | mixed_audio audio | labels_speaker0 list | labels_speaker1 list | n_frames int64 | frame_hz int32 | label_counts string | turns_meta string | n_turns int32 | n_backchannels int32 |
|---|---|---|---|---|---|---|---|---|---|---|---|
1,382 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3... | [
4,
4,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 3,781 | 100 | {"Silence": 3781, "Initial": 150, "Speech": 2873, "Interim": 458, "Final": 300, "Backchannel": 0} | [{"speaker": 0, "text": "Hello, Janet.", "is_bc": false, "dur_ms": 2133.5}, {"speaker": 1, "text": "Good morning, Pete.", "is_bc": false, "dur_ms": 2209.6875}, {"speaker": 0, "text": "And what is this?", "is_bc": false, "dur_ms": 2844.6875}, {"speaker": 1, "text": "Ah, this is my daughter's birthday present. Her birthd... | 10 | 0 | |||
2,142 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 3,186 | 100 | {"Silence": 3186, "Initial": 105, "Speech": 2479, "Interim": 392, "Final": 210, "Backchannel": 0} | [{"speaker": 0, "text": "To which gate do I need to go to catch connection flight LI zero-one to Madrid?", "is_bc": false, "dur_ms": 5774.6875}, {"speaker": 1, "text": "Go to gate eighteen. The plane is boarding now. You should hurry up.", "is_bc": false, "dur_ms": 4257.25}, {"speaker": 0, "text": "Umm show me the fast... | 7 | 0 | |||
1,860 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 2,926 | 100 | {"Silence": 2926, "Initial": 150, "Speech": 2217, "Interim": 259, "Final": 300, "Backchannel": 0} | [{"speaker": 1, "text": "Hey, Tom, I want to learn how to play golf.", "is_bc": false, "dur_ms": 3915.625}, {"speaker": 0, "text": "You're really sporty!", "is_bc": false, "dur_ms": 2293.0}, {"speaker": 1, "text": "I want to do everything I can.", "is_bc": false, "dur_ms": 2539.875}, {"speaker": 0, "text": "Do you have... | 10 | 0 | |||
2,342 | [
0,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 2,523 | 100 | {"Silence": 4189, "Initial": 60, "Speech": 632, "Interim": 45, "Final": 120, "Backchannel": 0} | [{"speaker": 0, "text": "Where do you want to go this weekend?", "is_bc": false, "dur_ms": 2755.125}, {"speaker": 1, "text": "Let's go to the lake and camp on the south side.", "is_bc": false, "dur_ms": 3539.4375}, {"speaker": 0, "text": "Do you want to take the jet ski?", "is_bc": false, "dur_ms": 2032.1250000000002},... | 8 | 0 | |||
200 | [
0,
0,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | [
4,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 1,746 | 100 | {"Silence": 1746, "Initial": 90, "Speech": 1334, "Interim": 142, "Final": 180, "Backchannel": 0} | [{"speaker": 0, "text": "Hi, Lucy. What are you going to do this weekend?", "is_bc": false, "dur_ms": 3321.625}, {"speaker": 1, "text": "I have no idea yet. Do you have any suggestions?", "is_bc": false, "dur_ms": 3920.9375}, {"speaker": 0, "text": "Would you like to play tennis with me?", "is_bc": false, "dur_ms": 172... | 6 | 0 | |||
1,547 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
4,
4,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 3,659 | 100 | {"Silence": 3659, "Initial": 180, "Speech": 2737, "Interim": 281, "Final": 360, "Backchannel": 101} | [{"speaker": 1, "text": "Excuse me.", "is_bc": false, "dur_ms": 1053.125}, {"speaker": 0, "text": "Yes?", "is_bc": true, "dur_ms": 1008.375}, {"speaker": 1, "text": "Can you tell me the way to the Peak Tram, please?", "is_bc": false, "dur_ms": 2890.5625}, {"speaker": 0, "text": "Certainly. Go along Queen's Road...", "i... | 13 | 1 | |||
2,228 | [
4,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 1,563 | 100 | {"Silence": 1563, "Initial": 75, "Speech": 1161, "Interim": 177, "Final": 150, "Backchannel": 0} | [{"speaker": 0, "text": "Do you have the same in different sizes? The trousers are too long for me.", "is_bc": false, "dur_ms": 5263.375}, {"speaker": 1, "text": "Let me see. Yes, here you are.", "is_bc": false, "dur_ms": 2598.0625}, {"speaker": 0, "text": "Will the trousers shrink when washed?", "is_bc": false, "dur_m... | 5 | 0 | |||
2,431 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 1,398 | 100 | {"Silence": 1398, "Initial": 75, "Speech": 973, "Interim": 200, "Final": 150, "Backchannel": 0} | [{"speaker": 0, "text": "Is there anything I can do for you?", "is_bc": false, "dur_ms": 1642.25}, {"speaker": 1, "text": "I'm running out of gas.", "is_bc": false, "dur_ms": 2056.5}, {"speaker": 0, "text": "Uh, what kind of oil do you want?", "is_bc": false, "dur_ms": 3362.25}, {"speaker": 1, "text": "Premium, please.... | 5 | 0 | |||
2,163 | [
4,
4,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
0,
0,
0,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 2,605 | 100 | {"Silence": 2605, "Initial": 120, "Speech": 1955, "Interim": 290, "Final": 240, "Backchannel": 0} | [{"speaker": 1, "text": "Hey, Steven. What are you going to do this Saturday?", "is_bc": false, "dur_ms": 3323.3125}, {"speaker": 0, "text": "If the weather is good, I'll go to climb mountains.", "is_bc": false, "dur_ms": 4042.0625}, {"speaker": 1, "text": "Are you going with your friends?", "is_bc": false, "dur_ms": 1... | 8 | 0 | |||
1,750 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 4,324 | 100 | {"Silence": 6191, "Initial": 60, "Speech": 2121, "Interim": 156, "Final": 120, "Backchannel": 0} | [{"speaker": 0, "text": "What a beautiful view.", "is_bc": false, "dur_ms": 3048.625}, {"speaker": 1, "text": "It sure is. The Grand Canyon is truly a masterpiece. No man could ever make anything like this.", "is_bc": false, "dur_ms": 7857.25}, {"speaker": 0, "text": "What is that below?", "is_bc": false, "dur_ms": 190... | 9 | 0 | |||
2,453 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 2,448 | 100 | {"Silence": 2448, "Initial": 135, "Speech": 1852, "Interim": 191, "Final": 270, "Backchannel": 0} | [{"speaker": 1, "text": "How much is this shirt?", "is_bc": false, "dur_ms": 1851.0625}, {"speaker": 0, "text": "Eighty yuan.", "is_bc": false, "dur_ms": 1596.5625}, {"speaker": 1, "text": "It's rather expensive, isn't it?", "is_bc": false, "dur_ms": 2267.625}, {"speaker": 0, "text": "It's a bit. But I can give you a d... | 9 | 0 | |||
387 | [
4,
4,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | 1,711 | 100 | {"Silence": 1711, "Initial": 75, "Speech": 1229, "Interim": 257, "Final": 150, "Backchannel": 0} | [{"speaker": 0, "text": "May I have my bill, please?", "is_bc": false, "dur_ms": 1740.1875}, {"speaker": 1, "text": "Umm, that's twenty dollars in all.", "is_bc": false, "dur_ms": 3450.375}, {"speaker": 0, "text": "Well, I am afraid you have made a mistake. Would you check it again, please?", "is_bc": false, "dur_ms": ... | 5 | 0 | |||
1,257 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 2,468 | 100 | {"Silence": 2468, "Initial": 105, "Speech": 1961, "Interim": 89, "Final": 210, "Backchannel": 103} | [{"speaker": 1, "text": "Excuse me. I've been waiting for my main dish for quite a time.", "is_bc": false, "dur_ms": 3979.6875}, {"speaker": 0, "text": "Yes, sir. Just a minute, please, umm I'll check with the kitchen.", "is_bc": false, "dur_ms": 4229.5625}, {"speaker": 1, "text": "Thank you for waiting. It takes anoth... | 8 | 1 | |||
183 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 2,051 | 100 | {"Silence": 2051, "Initial": 105, "Speech": 1543, "Interim": 193, "Final": 210, "Backchannel": 0} | [{"speaker": 1, "text": "Sir, would you like some dessert now?", "is_bc": false, "dur_ms": 2663.5625}, {"speaker": 0, "text": "Umm please show me the menu again.", "is_bc": false, "dur_ms": 2645.8125}, {"speaker": 1, "text": "Here you are. sir, the chocolate cake is very delicious.", "is_bc": false, "dur_ms": 3700.25},... | 7 | 0 | |||
885 | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
4,
4,
4,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2... | 3,427 | 100 | {"Silence": 4878, "Initial": 75, "Speech": 1463, "Interim": 288, "Final": 150, "Backchannel": 0} | [{"speaker": 1, "text": "Take care, Peter. Don't run so fast. Are you tired?", "is_bc": false, "dur_ms": 4482.375}, {"speaker": 0, "text": "Oh, yes. May I sit on the grass?", "is_bc": false, "dur_ms": 4278.625}, {"speaker": 1, "text": "No, you mustn't sit on the grass. Don't you see the notes?", "is_bc": false, "dur_ms... | 9 | 0 |
End of preview. Expand in Data Studio
hamsaai/eot-dataset-sample
Frame-level End-of-Turn (EOT) dataset for training real-time conversational AI.
Built from DailyTalk.
Reference paper:
A Hierarchical End-of-Turn Model with Primary Speaker Segmentation for Real-Time Conversational AI
Helwani et al., Meta — IEEE CAI 2026
What is this?
Each row is a 2-speaker conversation split into two separate audio channels (one per speaker), with frame-level labels at 100Hz (every 10ms) telling the model what conversational state the speaker is in at each moment.
This is the data format the EOT model reads to learn when a user stops speaking.
Dataset Columns
| Column | Type | Description |
|---|---|---|
speaker0_audio |
Audio (16kHz) | Speaker 0 track — zeros during speaker 1 turns |
speaker1_audio |
Audio (16kHz) | Speaker 1 track — zeros during speaker 0 turns |
labels_speaker0 |
List[int] | Frame labels at 100Hz for speaker 0 |
labels_speaker1 |
List[int] | Frame labels at 100Hz for speaker 1 |
n_frames |
int | Total frame count |
frame_hz |
int | 100 (= 10ms per frame) |
n_turns |
int | Number of turns in conversation |
n_backchannels |
int | Number of backchannel turns detected |
label_counts |
JSON str | Per-label frame counts |
turns_meta |
JSON str | Per-turn metadata |
Label IDs
| ID | Name | Description |
|---|---|---|
| 0 | Silence | No speech on this channel |
| 1 | Initial | First 150ms of a turn starting |
| 2 | Speech | Mid-turn, active speaking |
| 3 | Interim | Silence INSIDE a turn (hesitation) — NOT an EOT |
| 4 | Final | Last 300ms of a completed turn — the EOT signal |
| 5 | Backchannel | Short filler while the other speaker continues |
How Labels Are Generated
Labels come directly from audio_cut_idxs (exact sample-level turn boundaries):
Final= last 300ms before the exact turn end sampleInitial= first 150ms from the exact turn start sampleInterim= intra-turn silence detected by Silero VADBackchannel= text is a filler word AND next turn is long by other speakerSpeech= everything else
No manual annotation. No approximation. Deterministic from dataset metadata.
Anti-shortcut augmentations (from the paper):
- Label time-shift jitter ±3 frames
- Random channel dropout (p=0.15)
- Downloads last month
- -