Speaker Recognition Systems: A Tutorial
| Autor: | Thomas Kokumo Yesufu, Abimbola Fisusi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Dynamic time warping
mel-frequency cepstrum coefficient Computer science speaker recognition Speech recognition feature extraction Feature extraction Vector quantization Speaker recognition Speech processing Task (project management) Speaker diarisation vector quantization pattern matching General Materials Science Pattern matching |
| Zdroj: | African Journal of Information & Communication Technology; Vol 3 No 2 (2007) |
| ISSN: | 1449-2679 |
| Popis: | This paper gives an overview of speaker recognition systems. Speaker recognition is the task of automatically recognizing who is speaking by identifying an unknown speaker among several reference speakers using speaker-specific information included in speech waves. The different classification of speaker recognition and speech processing techniques required for performing the recognition task are discussed. The basic modules of a speaker recognition system are outlined and discussed. Some of the techniques required to implement each module of the system were discussed and others are mentioned. The methods were also compared with one another. Finally, this paper concludes by giving a few research trends in speaker recognition for some year to come. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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