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33 lines
2.0 KiB
Markdown
33 lines
2.0 KiB
Markdown
# Introduction
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KsponSpeech is a large-scale spontaneous speech corpus of Korean.
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This corpus contains 969 hours of open-domain dialog utterances,
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spoken by about 2,000 native Korean speakers in a clean environment.
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All data were constructed by recording the dialogue of two people
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freely conversing on a variety of topics and manually transcribing the utterances.
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The transcription provides a dual transcription consisting of orthography and pronunciation,
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and disfluency tags for spontaneity of speech, such as filler words, repeated words, and word fragments.
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The original audio data has a pcm extension.
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During preprocessing, it is converted into a file in the flac extension and saved anew.
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KsponSpeech is publicly available on an open data hub site of the Korea government.
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The dataset must be downloaded manually.
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For more details, please visit:
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- Dataset: https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=123
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- Paper: https://www.mdpi.com/2076-3417/10/19/6936
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[./RESULTS.md](./RESULTS.md) contains the latest results.
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# Transducers
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There are various folders containing the name `transducer` in this folder. The following table lists the differences among them.
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| | Encoder | Decoder | Comment |
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| ---------------------------------------- | -------------------- | ------------------ | ------------------------------------------------- |
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| `pruned_transducer_stateless7_streaming` | Streaming Zipformer | Embedding + Conv1d | streaming version of pruned_transducer_stateless7 |
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| `zipformer` | Upgraded Zipformer | Embedding + Conv1d | The latest recipe |
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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. |