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--- |
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datasets: |
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- SPGISpeech |
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language: |
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- en |
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license: mit |
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tags: |
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- k2 |
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- icefall |
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--- |
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# SPGISpeech |
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SPGISpeech consists of 5,000 hours of recorded company earnings calls and their respective |
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transcriptions. The original calls were split into slices ranging from 5 to 15 seconds in |
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length to allow easy training for speech recognition systems. Calls represent a broad |
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cross-section of international business English; SPGISpeech contains approximately 50,000 |
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speakers, one of the largest numbers of any speech corpus, and offers a variety of L1 and |
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L2 English accents. The format of each WAV file is single channel, 16kHz, 16 bit audio. |
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Transcription text represents the output of several stages of manual post-processing. |
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As such, the text contains polished English orthography following a detailed style guide, |
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including proper casing, punctuation, and denormalized non-standard words such as numbers |
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and acronyms, making SPGISpeech suited for training fully formatted end-to-end models. |
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Official reference: |
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O’Neill, P.K., Lavrukhin, V., Majumdar, S., Noroozi, V., Zhang, Y., Kuchaiev, O., Balam, |
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J., Dovzhenko, Y., Freyberg, K., Shulman, M.D., Ginsburg, B., Watanabe, S., & Kucsko, G. |
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(2021). SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted |
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end-to-end speech recognition. ArXiv, abs/2104.02014. |
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ArXiv link: https://arxiv.org/abs/2104.02014 |
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## Performance Record |
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| Decoding method | val | |
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|---------------------------|------------| |
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| greedy search | 2.40 | |
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| beam search | 2.24 | |
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| modified beam search | 2.30 | |
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| fast beam search | 2.35 | |
