| --- |
| license: other |
| language: |
| - km |
| - en |
| - zh |
| tags: |
| - speaker-diarization |
| - khmer |
| - audio |
| - simulated |
| pretty_name: Smean diarization training data |
| --- |
| |
| # Smean diarization training data |
|
|
| The training data of [smean-diarizer-1](https://huggingface.co/SmeanAI/smean-diarizer-1) and |
| [smean-diarizer-large](https://huggingface.co/SmeanAI/smean-diarizer-large): about 1,190 h of 16 kHz mono audio |
| with speaker-diarization labels (RTTM). Half is real meetings and broadcasts, half is simulated conversation, |
| mostly in Khmer. Each training batch drew from the sets with the weights below. |
|
|
| | Set | Train | Dev | Batch weight | What it is | |
| |---|---|---|---|---| |
| | `real` | 1,155 recordings, 351.6 h | 144, 35.1 h | 0.50 | AMI, AISHELL-4, AliMeeting, NOTSOFAR-1, VoxConverse (single channel) | |
| | `sim_khmer_meetings` | 12,000, 417.3 h | 150, 5.2 h | 0.20 | simulated Khmer meetings | |
| | `sim_khmer_broadcast` | 6,000, 209.7 h | 150, 5.3 h | 0.15 | simulated Khmer broadcast-style conversations | |
| | `sim_multi_meetings` | 6,000, 206.7 h | 150, 5.2 h | 0.15 | simulated multilingual meetings (English, Mandarin) | |
|
|
| The real training recordings are AMI (134), AISHELL-4 (173), AliMeeting (209), NOTSOFAR-1 (465) and VoxConverse (174). |
|
|
| ## Layout |
|
|
| ``` |
| <set>/{train,dev}/wav.scp recording id -> audio path (relative to the repo root) |
| <set>/{train,dev}/rttm labels to use (see below) |
| <set>/{train,dev}/rttm_original labels as first built |
| <set>/{train,dev}/all.uem scored region of each recording (the whole file) |
| <set>/audio/... 16 kHz mono WAV |
| ``` |
|
|
| ## Labels |
|
|
| Two label versions are included for every set: |
|
|
| - **`rttm`** — the current labels. |
| - `real`: the corpora's reference labels with silence removed. These labels marked many pauses as speech |
| (about 31% of AMI and 25% of AISHELL-4 label time was silence). A frame is kept only if Silero VAD hears speech |
| or its energy is at least 6 dB above the recording's noise floor; gaps under 0.1 s are bridged. Overlap and |
| speaker identities are unchanged. |
| - `sim_*`: rebuilt from each source utterance with the same rule, so more pauses inside a turn are marked as |
| silence: short pauses (< 0.5 s) per speech-minute go from about 1 to 3.6 (Khmer) and 5.8 (multilingual). The |
| source speech is read sentences, which pause rarely, so the change is modest. The energy test also widens |
| segment edges slightly: about 2.5% of the rebuilt label time lies outside `rttm_original` and 0.3% of the |
| original label time is removed. Neither version has been compared in training yet. |
| - **`rttm_original`** — the labels smean-diarizer-1 and smean-diarizer-large were trained on: the corpora's |
| reference labels for `real`; FastMSS output for `sim_*`, which merges same-speaker gaps up to 0.2–0.3 s. |
| |
| ## How the simulated sets were made |
|
|
| Built with [FastMSS](https://github.com/popcornell/FastMSS) from single-speaker speech: |
|
|
| - **Khmer:** Khmer ASR Cultural Dataset and Khmer ASR dataset by Digital Divide Data, and OpenSLR 42. |
| The train sets use 27 speakers. The dev sets use 4 different speakers, held out of all training simulation. |
| - **Multilingual:** LibriSpeech and AISHELL-1, 1,336 speakers. Dev speakers are held out. |
| - **Turn-taking:** an HMM fitted on real meetings (meetings sets) and on VoxConverse broadcasts (broadcast set). |
| - **Augmentation:** room acoustics from 500 simulated rooms (pyroomacoustics) and MUSAN noise and music. |
|
|
| Augmentation at training time (extra noise, reverberation, telephone band, gain) is not baked into the audio. |
|
|
| ## Not included |
|
|
| The Khmer evaluation set ([khmer-diarization-eval](https://huggingface.co/datasets/Darayut/khmer-diarization-eval)) |
| was never used for training and is not part of this dataset. |
|
|
| ## Licences |
|
|
| This dataset combines material under these licences; use must respect each of them: |
| - AMI: CC BY 4.0 |
| - AISHELL-4: CC BY-SA 4.0 |
| - AliMeeting: CC BY-SA 4.0 |
| - NOTSOFAR-1: as published by its authors |
| - VoxConverse: CC BY 4.0 |
| - Khmer ASR Cultural Dataset and Khmer ASR dataset by Digital Divide Data: CC BY-SA 4.0 |
| - OpenSLR 42: CC BY-SA 4.0 |
| - LibriSpeech: CC BY 4.0 |
| - AISHELL-1: Apache 2.0 |
| - MUSAN: CC BY 4.0 and public-domain parts |
|
|
