A phonetically aware system for speech activity detection
Speech activity detection (SAD) is an essential component of most speech processing tasks and greatly influences the performance of the systems. Noise and channel distortions remain a challenge for SAD systems. In this paper, we focus on a dataset of highly degraded signals, developed under the DARP...
Guardado en:
Autores principales: | Ferrer, L., Graciarena, M., Mitra, V., The Institute of Electrical and Electronics Engineers Signal Processing Society |
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Formato: | CONF |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_15206149_v2016-May_n_p5710_Ferrer |
Aporte de: |
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