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Conference Paper
Effective Voice Data Processing Techniques for Speech Recognition in Client/Server Environment
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- Authors
- MiKyoung Kim, JungHee Choi, HyunSoon Shin, SangHo Lee
- Issue Date
- 2015-01
- Citation
- International Conference on Small and Medium Business (ICSMB) 2015, pp.284-287
- Publisher
- 중소기업융합학회
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a processing technique for performing audio data communication effectively in a client/server environment by reducing the amount of audio data transmitting for speech recognition. In general, the speech recognition system using HMM algorithm uses 2-dimensional 8-bytes array data with float type, yet it has a lot of overhead in a client/server. In order to make up for the problem, we use 1-dimensional 4-bytes array data with integer type using vector quantization and DHMM algorithms.
- KSP Keywords
- Array data, Audio data, Data Processing Techniques, Data transmitting, Speech recognition system, Vector Quantization(VQ), Voice Data, data communication