# 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-2/

## 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 | 35 |
| DOI | 10.1109/asru46091.2019.9003976 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3008587939 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

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

## 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/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Music and Audio Processing](https://scholariq.org/topics/music-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.