Self-Learning Speaker Identification [electronic resource]: A System for Enhanced Speech Recognition / by Tobias Herbig, Franz Gerl, Wolfgang Minker.
Tipo de material: TextoSeries Signals and Communication Technology; Descripción: XII, 172 p. online resourceISBN: 9783642198991 99783642198991Tema(s): Engineering | Engineering | User Interfaces and Human Computer Interaction | BIOMETRICS | BIOMETRICS | SIGNAL, IMAGE AND SPEECH PROCESSING | COMMUNICATIONS ENGINEERING, NETWORKS | TELECOMUNICACIÓN | COMPUTER SCIENCEClasificación CDD: 621.382 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 621.382 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000678 |
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621.382 223 Optimal Time-Domain Noise Reduction Filters | 621.382 223 The Sound of Silence | 621.382 223 On the Achievable Rate of Stationary Fading Channels | 621.382 223 Self-Learning Speaker Identification | 621.382 223 Fundamentals in Information Theory and Coding | 621.382 223 Control and Adaptation in Telecommunication Systems | 621.382 223 New Developments in Sensing Technology for Structural Health Monitoring |
Introduction -- State of the Art -- Fundamentals -- Speech Production -- Front-End -- Speaker Change -- Speaker Identification.-Speaker Adaptation.
Current speech recognition systems suffer from variation of voice characteristics between speakers as they are usually based on speaker independent speech models. In order to resolve this issue, adaptation methods have been developed in many state-of-the-art systems. However, information acquired over time is still lost whenever another speaker intermittently uses the recognition system. This work therefore develops an integrated approach for speech and speaker recognition in order to improve the self-learning opportunities of the system. A speaker adaptation scheme is introduced. It is suited for fast short-term and detailed long-term adaptation. These adaptation profiles are then used for an efficient speaker recognition system. The speaker identification enables the speaker adaptation to track different speakers which results in an optimal long-term adaptation.
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