Abstract
The exploration of speech processing for endangered languages has substantially increased in the past epoch of time. In this paper, we present the acoustic-phonetic approach for automatic speech recognition (ASR) using monolingual and cross-lingual information with application to under-resourced Indian languages, Punjabi, Nepali and Hindi. The challenging task while developing the ASR was the collection of the acoustic corpus for under-resourced languages. We have described here, in brief, the strategies used for designing the corpus and also highlighted the issues pertaining while collecting data for these languages. The bootstrap GMM-UBM based approach is used, which integrates pronunciation lexicon, language model and acoustic-phonetic model. Mel Frequency Cepstral Coefficients were used for extracting the acoustic signal features for training in monolingual and cross-lingual settings. The experimental result shows the overall performance of ASR for cross-lingual and monolingual. The phone substitution plays a key role in the cross-lingual as well as monolingual recognition. The result obtained by cross-lingual recognition compared with other baseline system and it has been found that the performance of the recognition system is based on phonemic units . The recognition rate of cross-lingual generally declines as compared with the monolingual.- Anthology ID:
- 2020.sltu-1.23
- Volume:
- Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Dorothee Beermann, Laurent Besacier, Sakriani Sakti, Claudia Soria
- Venue:
- SLTU
- SIG:
- Publisher:
- European Language Resources association
- Note:
- Pages:
- 167–171
- Language:
- English
- URL:
- https://aclanthology.org/2020.sltu-1.23
- DOI:
- Cite (ACL):
- Shweta Bansal. 2020. Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information. In Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL), pages 167–171, Marseille, France. European Language Resources association.
- Cite (Informal):
- Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information (Bansal, SLTU 2020)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/2020.sltu-1.23.pdf