Update README.md

README.md

@@ -5,4 +5,55 @@ language:
 pipeline_tag: automatic-speech-recognition
 tags:
 - icefall
----
+---
+
+See https://github.com/k2-fsa/icefall/pull/1651
+
+# icefall-asr-ksponspeech-pruned-transducer-stateless7-streaming-2024-06-12
+
+KsponSpeech is a large-scale spontaneous speech corpus of Korean.
+This corpus contains 969 hours of open-domain dialog utterances,
+spoken by about 2,000 native Korean speakers in a clean environment.
+
+All data were constructed by recording the dialogue of two people
+freely conversing on a variety of topics and manually transcribing the utterances.
+
+The transcription provides a dual transcription consisting of orthography and pronunciation,
+and disfluency tags for spontaneity of speech, such as filler words, repeated words, and word fragments.
+
+The original audio data has a pcm extension.
+During preprocessing, it is converted into a file in the flac extension and saved anew.
+
+KsponSpeech is publicly available on an open data hub site of the Korea government.
+The dataset must be downloaded manually.
+
+For more details, please visit:
+
+ - Dataset: https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=123
+ - Paper: https://www.mdpi.com/2076-3417/10/19/6936
+
+### Streaming Zipformer-Transducer (Pruned Stateless Transducer + Streaming Zipformer)
+
+Number of model parameters: 79,022,891, i.e., 79.02 M
+
+#### Training on KsponSpeech (with MUSAN)
+
+The CERs are:
+
+| decoding method      | chunk size | eval_clean | eval_other | comment             | decoding mode        |
+|----------------------|------------|------------|------------|---------------------|----------------------|
+| greedy search        | 320ms      | 10.21      | 11.07      | --epoch 30 --avg 9  | simulated streaming  |
+| greedy search        | 320ms      | 10.22      | 11.07      | --epoch 30 --avg 9  | chunk-wise           |
+| fast beam search     | 320ms      | 10.21      | 11.04      | --epoch 30 --avg 9  | simulated streaming  |
+| fast beam search     | 320ms      | 10.25      | 11.08      | --epoch 30 --avg 9  | chunk-wise           |
+| modified beam search | 320ms      | 10.13      | 10.88      | --epoch 30 --avg 9  | simulated streaming  |
+| modified beam search | 320ms      | 10.1       | 10.93      | --epoch 30 --avg 9  | chunk-size           |
+| greedy search        | 640ms      | 9.94       | 10.82      | --epoch 30 --avg 9  | simulated streaming  |
+| greedy search        | 640ms      | 10.04      | 10.85      | --epoch 30 --avg 9  | chunk-wise           |
+| fast beam search     | 640ms      | 10.01      | 10.81      | --epoch 30 --avg 9  | simulated streaming  |
+| fast beam search     | 640ms      | 10.04      | 10.7       | --epoch 30 --avg 9  | chunk-wise           |
+| modified beam search | 640ms      | 9.91       | 10.72      | --epoch 30 --avg 9  | simulated streaming  |
+| modified beam search | 640ms      | 9.92       | 10.72      | --epoch 30 --avg 9  | chunk-size           |
+
+Note: `simulated streaming` indicates feeding full utterance during decoding using `decode.py`,
+while `chunk-size` indicates feeding certain number of frames at each time using `streaming_decode.py`.