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SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition

Research article (Interspeech 2021, 2021) · cited 36× · AI/ML
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SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition

Summary

SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition is a scholarly article[1].

Key Facts

  • SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/spgispeech-5-000-hours-of-transcribed-financial-audio-for-fully-formatted-end-to-end-speech-recognition
MLA “SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spgispeech-5-000-hours-of-transcribed-financial-audio-for-fully-formatted-end-to-end-speech-recognition.
BibTeX @misc{4ortxyz_spgispeech-5-000-hours-of-transcribed-financial-audio-for-fully-formatted-end-to-end-speech-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/spgispeech-5-000-hours-of-transcribed-financial-audio-for-fully-formatted-end-to-end-speech-recognition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition — https://4ort.xyz/entity/spgispeech-5-000-hours-of-transcribed-financial-audio-for-fully-formatted-end-to-end-speech-recognition (retrieved 2026-05-24)

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