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Introduction
ReazonSpeech is an open-source dataset that contains a diverse set of natural Japanese speech, collected from terrestrial television streams. It contains more than 35,000 hours of audio.
The dataset is available on Hugging Face. For more details, please visit:
- Dataset: https://huggingface.co/datasets/reazon-research/reazonspeech
- Paper: https://research.reazon.jp/_static/reazonspeech_nlp2023.pdf
./RESULTS.md contains the latest results.
Transducers
There are various folders containing the name transducer in this folder. The following table lists the differences among them.
| Encoder | Decoder | Comment | |
|---|---|---|---|
pruned_transducer_stateless2 |
Conformer (modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss |
pruned_transducer_stateless7_streaming |
Streaming Zipformer | Embedding + Conv1d | streaming version of pruned_transducer_stateless7 |
zipformer |
Upgraded Zipformer | Embedding + Conv1d | The latest recipe |
The decoder in transducer_stateless is modified from the paper Rnn-Transducer with Stateless Prediction Network. We place an additional Conv1d layer right after the input embedding layer.