Towards Hierarchical Spoken Language Dysfluency Modeling
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866914646761406464 |
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| author | Lian, Jiachen Anumanchipalli, Gopala |
| author_facet | Lian, Jiachen Anumanchipalli, Gopala |
| contents | Speech disfluency modeling is the bottleneck for both speech therapy and language learning. However, there is no effective AI solution to systematically tackle this problem. We solidify the concept of disfluent speech and disfluent speech modeling. We then present Hierarchical Unconstrained Disfluency Modeling (H-UDM) approach, the hierarchical extension of UDM that addresses both disfluency transcription and detection to eliminate the need for extensive manual annotation. Our experimental findings serve as clear evidence of the effectiveness and reliability of the methods we have introduced, encompassing both transcription and detection tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10015 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Hierarchical Spoken Language Dysfluency Modeling Lian, Jiachen Anumanchipalli, Gopala Computation and Language Audio and Speech Processing Speech disfluency modeling is the bottleneck for both speech therapy and language learning. However, there is no effective AI solution to systematically tackle this problem. We solidify the concept of disfluent speech and disfluent speech modeling. We then present Hierarchical Unconstrained Disfluency Modeling (H-UDM) approach, the hierarchical extension of UDM that addresses both disfluency transcription and detection to eliminate the need for extensive manual annotation. Our experimental findings serve as clear evidence of the effectiveness and reliability of the methods we have introduced, encompassing both transcription and detection tasks. |
| title | Towards Hierarchical Spoken Language Dysfluency Modeling |
| topic | Computation and Language Audio and Speech Processing |
| url | https://arxiv.org/abs/2401.10015 |