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Speech Separation by Humans and Machines
The "cocktail-party effect" - the ability to focus on one voice in a sea of noises - is a highly sophisticated skill that is usually effortless to listeners but largely impossible for machines. Investigating and unraveling this capacity spans numerous fields including psychology, physiolog...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2005.
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| Edición: | 1st ed. 2005. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Speech Segregation: Problems and Perspectives
- Auditory Scene Analysis
- Speech separation
- Recurrent Timing Nets for F0-based Speaker Separation
- Blind Source Separation Using Graphical Models
- Speech Recognizer Based Maximum Likelihood Beamforming
- Exploiting Redundancy to Construct Listening Systems
- Automatic Speech Processing by Inference in Generative Models
- Signal Separation Motivated by Human Auditory Perception: Applications to Automatic Speech Recognition
- Speech Segregation Using an Event-synchronous Auditory Image and STRAIGHT
- Underlying Principles of a High-quality Speech Manipulation System STRAIGHT and Its Application to Speech Segregation
- On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis
- The History and Future of CASA
- Techniques for Robust Speech Recognition in Noisy and Reverberant Conditions
- Source Separation, Localization, and Comprehension in Humans, Machines, and Human-machine Systems
- The Cancellation Principle in Acoustic Scene Analysis
- Informational and Energetic Masking Effects in Multitalker Speech Perception
- Masking the Feature Information In Multi-stream Speech-analogue Displays
- Interplay Between Visual and Audio Scene Analysis
- Evaluating Speech Separation Systems
- Making Sense of Everyday Speech: a Glimpsing Account.