# end-to-end training of a large vocabulary end-to-end speech recognition system

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/end-to-end-training-of-a-large-vocabulary-end-to-end-speech-recognition-system/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chanwoo Kim,Sung-Soo Kim,Kwangyoun Kim,Mehul Kumar,Jiyeon Kim,Kyungmin Lee,Changwoo Han,Abhinav Garg,Eunhyang Kim,Minkyoo Shin,Shatrughan Singh,Larry Heck,Dhananjaya Gowda |
| Citations | 9 |
| DOI | 10.48550/arxiv.1912.11040 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1912.11040 |
| OpenAlex ID | https://openalex.org/W2996856320 |
| Type | preprint |
| Year | 2019 |

## Paper authors

- [Kyungmin Lee](https://scholariq.org/researchers/kyungmin-lee/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)

## Paper topics

- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)
- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.