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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US,
2005.
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
