Human and Automatic Speaker Recognition over Telecommunication Channels
This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of...
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| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Singapore :
Springer Singapore
2016.
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| Edición: | 1st ed |
| Colección: | T-Labs Series in Telecommunication Services.
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33056183*spi |
Tabla de Contenidos:
- Introduction
- Literature Review
- Human Speaker Identification Performance under Channel Degradations
- Importance of Intelligible Phonemes for Human Speaker Recognition in Different Bandwidths
- Automatic Speaker Verification Performance Under Channel Distortions
- Detecting Speaker-Discriminative Spectral Content in Wideband for Automatic Speaker Recognition
- Relations Among Speech Quality, Human Speaker Identification, and Automatic Speaker Verification. Conclusions and Future Work.
