• Corpus ID: 59356101

Phonetically balanced Bangla speech corpus

@inproceedings{Alam2011PhoneticallyBB,
  title={Phonetically balanced Bangla speech corpus},
  author={Firoj Alam and Rabia Sultana and Shammur Absar and Mumit Khan},
  year={2011}
}
This paper describes the development of a phonetically balanced Bangla speech corpus. Construction of speech applications such as text to speech and speech recognition requires a phonetically balanced speech database in order to obtain a natural output. Here we elicited text collection procedure, text normalization, G2P 1 conversion and optimal text selection using a greedy selection method and hand pruning. 
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15 Citations
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4
Methods Citations
3

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7 References

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