# A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparative-study-on-non-autoregressive-modelings-for-speech-to-text/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yosuke Higuchi,Nanxin Chen,Yuya Fujita,Hirofumi Inaguma,Tatsuya Komatsu,Jaesong Lee,Jumon Nozaki,Tianzi Wang,Shinji Watanabe |
| Citations | 36 |
| DOI | 10.1109/asru51503.2021.9688157 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3206573929 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Tianzi Wang](https://scholariq.org/researchers/tianzi-wang/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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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.