A two stage adaptation towards automatic speech recognition system for children
Recently, Automatic Speech Recognition (ASR) systems were used to assist children in language acquisition as it has the ability to detect human speech signal. Despite the benefits offered by the ASR system for children, there is a lack of ASR systems for Malay-speaking children. One of the contr...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/15793/1/0001.pdf |
| _version_ | 1796946961487626240 |
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| author | Mumtaz Begum, M. Siti Salwah, S. Feizal Dani, R. |
| author_facet | Mumtaz Begum, M. Siti Salwah, S. Feizal Dani, R. |
| author_sort | Mumtaz Begum, M. |
| collection | UM |
| description | Recently, Automatic Speech Recognition (ASR)
systems were used to assist children in language acquisition as it has
the ability to detect human speech signal. Despite the benefits offered
by the ASR system for children, there is a lack of ASR systems for
Malay-speaking children. One of the contributing factors for this is
the lack of continuous speech database for Malay-speaking children.
Though cross-lingual adaptation is a common solution for developing
ASR systems for under-resourced language, it is not viable for
children as there are very limited children's speech databases as a
source model. In this research, we are proposing a two-stage
adaptation using a very limited database of Malay-speaking children
for the development of the children ASR system. The two stage
adaptation comprises the cross-lingual adaptation (first stage) and
cross-age adaptation. For the first stage, a well-known speech
database that is phonetically rich and balanced, is adapted to the
medium-sized Malay adults using supervised MLLR. The second
stage adaptation uses the speech acoustic model generated from the
first adaptation, and the target database is a small-sized database of
Malay-speaking children. We have measured the performance of the
proposed technique using word error rate, and then compare them
with the conventional benchmark adaptation. The two stage
adaptation proposed in this research has better recognition accuracy
as compared to the benchmark adaptation in recognizing children's
speech. |
| first_indexed | 2024-03-06T05:39:40Z |
| format | Conference or Workshop Item |
| id | um.eprints-15793 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:39:40Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | um.eprints-157932016-04-20T02:25:15Z http://eprints.um.edu.my/15793/ A two stage adaptation towards automatic speech recognition system for children Mumtaz Begum, M. Siti Salwah, S. Feizal Dani, R. Q Science (General) QA75 Electronic computers. Computer science Recently, Automatic Speech Recognition (ASR) systems were used to assist children in language acquisition as it has the ability to detect human speech signal. Despite the benefits offered by the ASR system for children, there is a lack of ASR systems for Malay-speaking children. One of the contributing factors for this is the lack of continuous speech database for Malay-speaking children. Though cross-lingual adaptation is a common solution for developing ASR systems for under-resourced language, it is not viable for children as there are very limited children's speech databases as a source model. In this research, we are proposing a two-stage adaptation using a very limited database of Malay-speaking children for the development of the children ASR system. The two stage adaptation comprises the cross-lingual adaptation (first stage) and cross-age adaptation. For the first stage, a well-known speech database that is phonetically rich and balanced, is adapted to the medium-sized Malay adults using supervised MLLR. The second stage adaptation uses the speech acoustic model generated from the first adaptation, and the target database is a small-sized database of Malay-speaking children. We have measured the performance of the proposed technique using word error rate, and then compare them with the conventional benchmark adaptation. The two stage adaptation proposed in this research has better recognition accuracy as compared to the benchmark adaptation in recognizing children's speech. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/15793/1/0001.pdf Mumtaz Begum, M. and Siti Salwah, S. and Feizal Dani, R. (2016) A two stage adaptation towards automatic speech recognition system for children. In: International Conference on Text, Speech and Dialogue (ICTSD), 03 - 04 March 2016, Singapore. |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science Mumtaz Begum, M. Siti Salwah, S. Feizal Dani, R. A two stage adaptation towards automatic speech recognition system for children |
| title | A two stage adaptation towards automatic speech recognition system for children |
| title_full | A two stage adaptation towards automatic speech recognition system for children |
| title_fullStr | A two stage adaptation towards automatic speech recognition system for children |
| title_full_unstemmed | A two stage adaptation towards automatic speech recognition system for children |
| title_short | A two stage adaptation towards automatic speech recognition system for children |
| title_sort | two stage adaptation towards automatic speech recognition system for children |
| topic | Q Science (General) QA75 Electronic computers. Computer science |
| url | http://eprints.um.edu.my/15793/1/0001.pdf |
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