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Speech Processing and Soft Computing / by Sid-Ahmed Selouani.

Por: Colaborador(es): Tipo de material: TextoTextoSeries SpringerBriefs in Electrical and Computer EngineeringEditor: New York, NY : Springer New York, 2011Edición: 1Descripción: Ix, 104 páginas 24 ilustraciones, 3 ilustraciones en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9781441996855
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • TK5102.9
Recursos en línea:
Contenidos:
1. Introduction -- 2. Speech Enhancement Paradigm.- 3. Connectionist Subspace Decomposition for Speech Enhancement -- 4. Variance of the Reconstruction Error Technique -- 5. Evolutionary Techniques for Speech Enhancement -- 6. Robustness of Automatic Speech Recognition -- 7. Artificial Neural Networks and Speech Recognition -- 8. Evolutionary Algorithms and Speech Recognition -- 9. Speaker Adaptation Using Evolutionary-based Approach.
Resumen: Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods. Through practical cases, the author explores, dissects and examines how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizons and investigating new research directions through review of the theoretical and practical settings of soft computing methods in very recent speech applications.
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Springer eBooks

1. Introduction -- 2. Speech Enhancement Paradigm.- 3. Connectionist Subspace Decomposition for Speech Enhancement -- 4. Variance of the Reconstruction Error Technique -- 5. Evolutionary Techniques for Speech Enhancement -- 6. Robustness of Automatic Speech Recognition -- 7. Artificial Neural Networks and Speech Recognition -- 8. Evolutionary Algorithms and Speech Recognition -- 9. Speaker Adaptation Using Evolutionary-based Approach.

Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods. Through practical cases, the author explores, dissects and examines how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizons and investigating new research directions through review of the theoretical and practical settings of soft computing methods in very recent speech applications.

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