WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages
Automatic speech recognition systems are developed for translating the speech signals into the corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There is a significant lack of efficient technology fo...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2023-03-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2022.9020017 |
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| author | Tripti Choudhary Vishal Goyal Atul Bansal |
| author_facet | Tripti Choudhary Vishal Goyal Atul Bansal |
| author_sort | Tripti Choudhary |
| collection | DOAJ |
| description | Automatic speech recognition systems are developed for translating the speech signals into the corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There is a significant lack of efficient technology for Indian languages. In this paper, an wavelet transformer for automatic speech recognition (WTASR) of Indian language is proposed. The speech signals suffer from the problem of high and low frequency over different times due to variation in speech of the speaker. Thus, wavelets enable the network to analyze the signal in multiscale. The wavelet decomposition of the signal is fed in the network for generating the text. The transformer network comprises an encoder decoder system for speech translation. The model is trained on Indian language dataset for translation of speech into corresponding text. The proposed method is compared with other state of the art methods. The results show that the proposed WTASR has a low word error rate and can be used for effective speech recognition for Indian language. |
| format | Article |
| id | doaj-art-2261e997fd084ae3ba32e009901e7ac4 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-2261e997fd084ae3ba32e009901e7ac42025-02-02T07:53:41ZengTsinghua University PressBig Data Mining and Analytics2096-06542023-03-0161859110.26599/BDMA.2022.9020017WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian LanguagesTripti Choudhary0Vishal Goyal1Atul Bansal2Department of Electronics and Communication, GLA University, Mathura 281406, IndiaDepartment of Electronics and Communication, GLA University, Mathura 281406, IndiaChandigarh University, Mohali 140413, IndiaAutomatic speech recognition systems are developed for translating the speech signals into the corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There is a significant lack of efficient technology for Indian languages. In this paper, an wavelet transformer for automatic speech recognition (WTASR) of Indian language is proposed. The speech signals suffer from the problem of high and low frequency over different times due to variation in speech of the speaker. Thus, wavelets enable the network to analyze the signal in multiscale. The wavelet decomposition of the signal is fed in the network for generating the text. The transformer network comprises an encoder decoder system for speech translation. The model is trained on Indian language dataset for translation of speech into corresponding text. The proposed method is compared with other state of the art methods. The results show that the proposed WTASR has a low word error rate and can be used for effective speech recognition for Indian language.https://www.sciopen.com/article/10.26599/BDMA.2022.9020017transformerwaveletautomatic speech recognition (asr)indian language |
| spellingShingle | Tripti Choudhary Vishal Goyal Atul Bansal WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages Big Data Mining and Analytics transformer wavelet automatic speech recognition (asr) indian language |
| title | WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages |
| title_full | WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages |
| title_fullStr | WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages |
| title_full_unstemmed | WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages |
| title_short | WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages |
| title_sort | wtasr wavelet transformer for automatic speech recognition of indian languages |
| topic | transformer wavelet automatic speech recognition (asr) indian language |
| url | https://www.sciopen.com/article/10.26599/BDMA.2022.9020017 |
| work_keys_str_mv | AT triptichoudhary wtasrwavelettransformerforautomaticspeechrecognitionofindianlanguages AT vishalgoyal wtasrwavelettransformerforautomaticspeechrecognitionofindianlanguages AT atulbansal wtasrwavelettransformerforautomaticspeechrecognitionofindianlanguages |