# Self-Supervised ASR Models and Features for Dysarthric and Elderly Speech Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/self-supervised-asr-models-and-features-for-dysarthric-and-elderly-speech/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shujie Hu,Xurong Xie,Mengzhe Geng,Zengrui Jin,Jiajun Deng,Guinan Li,Yi Wang,Mingyu Cui,Tianzi Wang,Helen Meng,Xunying Liu |
| Citations | 33 |
| DOI | 10.1109/taslp.2024.3422839 |
| Fields | Computer Science,Medicine,Psychology |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1109/taslp.2024.3422839 |
| OpenAlex ID | https://openalex.org/W4400275735 |
| Type | article |
| Year | 2024 |

## 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/)
- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Phonetics and Phonology Research](https://scholariq.org/topics/phonetics-and-phonology-research/)

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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.