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        <title>ASR_SSN_CSE@LTEDI- 2023: Pretrained Transformer based Automatic Speech Recognition system for Elderly People</title>
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        <namePart type="given">Suhasini</namePart>
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        <namePart type="given">Bharathi</namePart>
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            <title>Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion</title>
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            <namePart type="given">Bharathi</namePart>
            <namePart type="given">R</namePart>
            <namePart type="family">Chakravarthi</namePart>
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            <namePart type="family">Bharathi</namePart>
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        <name type="personal">
            <namePart type="given">Joephine</namePart>
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        <name type="personal">
            <namePart type="given">Kalika</namePart>
            <namePart type="family">Bali</namePart>
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        <name type="personal">
            <namePart type="given">Paul</namePart>
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    <abstract>Submission of the paper for the result submitted in Shared Task on Speech Recognition for Vulnerable Individuals in Tamil- LT-EDI-2023. The task is to develop an automatic speech recognition system for Tamil language. The dataset provided in the task is collected from the elderly people who converse in Tamil language. The proposed ASR system is designed with pre-trained model. The pre-trained model used in our system is fine-tuned with Tamil common voice dataset. The test data released from the task is given to the proposed system, now the transcriptions are generated for the test samples and the generated transcriptions is submitted to the task. The result submitted is evaluated by task, the evaluation metric used is Word Error Rate (WER). Our Proposed system attained a WER of 39.8091%.</abstract>
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        <url>https://aclanthology.org/2023.ltedi-1.24</url>
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%0 Conference Proceedings
%T ASR_SSN_CSE@LTEDI- 2023: Pretrained Transformer based Automatic Speech Recognition system for Elderly People
%A S, Suhasini
%A B, Bharathi
%Y Chakravarthi, Bharathi R.
%Y Bharathi, B.
%Y Griffith, Joephine
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F s-b-2023-asr
%X Submission of the paper for the result submitted in Shared Task on Speech Recognition for Vulnerable Individuals in Tamil- LT-EDI-2023. The task is to develop an automatic speech recognition system for Tamil language. The dataset provided in the task is collected from the elderly people who converse in Tamil language. The proposed ASR system is designed with pre-trained model. The pre-trained model used in our system is fine-tuned with Tamil common voice dataset. The test data released from the task is given to the proposed system, now the transcriptions are generated for the test samples and the generated transcriptions is submitted to the task. The result submitted is evaluated by task, the evaluation metric used is Word Error Rate (WER). Our Proposed system attained a WER of 39.8091%.
%U https://aclanthology.org/2023.ltedi-1.24
%P 161-165

Markdown (Informal)

[ASR_SSN_CSE@LTEDI- 2023: Pretrained Transformer based Automatic Speech Recognition system for Elderly People](https://aclanthology.org/2023.ltedi-1.24) (S & B, LTEDI-WS 2023)

• ASR_SSN_CSE@LTEDI- 2023: Pretrained Transformer based Automatic Speech Recognition system for Elderly People (S & B, LTEDI-WS 2023)

ACL

• Suhasini S and Bharathi B. 2023. ASR_SSN_CSE@LTEDI- 2023: Pretrained Transformer based Automatic Speech Recognition system for Elderly People. In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, pages 161–165, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.