Evaluating the Audio-Visual Speech Enhancement Challenge (AVSEC) Baseline Model Using an Out-of-Domain Free-Flowing Corpus
The human auditory cortex contextually integrates audio-visual (AV) cues to enhance the comprehension of speech in noisy environments. Numerous studies have investigated the effectiveness of AV integration for speech enhancement (SE). This paper evaluates the effectiveness of the COG-MHEAR AV SE Challenge baseline model using an out-of-domain free-flowing corpus. Experimental results indicate that the COG-MHEAR AV SE Challenge baseline model exhibits superior performance when applied to an out-of-domain corpus.
Authors
- Arif Reza Anwary (ORCID: https://orcid.org/0000-0002-3802-0045)
- Tughrul Arslan (ORCID: https://orcid.org/0000-0001-8176-5803)
- Kia Dashtipour (ORCID: https://orcid.org/0000-0002-9651-6487)
- Amir Hussain (ORCID: https://orcid.org/0000-0002-8080-082X)
- Mandar Gogate (ORCID: https://orcid.org/0000-0003-1712-9014)
- Bryony Buck (ORCID: https://orcid.org/0000-0002-1166-5417)
- Adeel Hussain (ORCID: https://orcid.org/0009-0003-1410-8821)
Publication Details
- Published
- 2024-09-01
- DOI
- https://doi.org/10.21437/avsec.2024-16
- Citations
- 2
- Primary Topic
- Speech and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Royal Society
- Royal Society of Edinburgh
- Engineering and Physical Sciences Research Council