mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 18:12:19 +00:00
3b40d9bbb1
* Add first cut at ReazonSpeech recipe This recipe is mostly based on egs/csj, but tweaked to the point that can be run with ReazonSpeech corpus. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> --------- Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> Co-authored-by: Fujimoto Seiji <fujimoto@ceptord.net> Co-authored-by: Chen <qc@KDM00.cm.cluster> Co-authored-by: root <root@KDA01.cm.cluster>
30 lines
1.3 KiB
Markdown
30 lines
1.3 KiB
Markdown
# 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](./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 |
|
|
| ---------------------------------------- | -------------------- | ------------------ | ------------------------------------------------- |
|
|
| `zipformer` | Upgraded Zipformer | Embedding + Conv1d | The latest recipe |
|
|
|
|
The decoder in `transducer_stateless` is modified from the paper [Rnn-Transducer with Stateless Prediction Network](https://ieeexplore.ieee.org/document/9054419/). We place an additional Conv1d layer right after the input embedding layer.
|
|
|