Noise reduction in speech processing
Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) tha...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| Serier: | Springer Topics in Signal Processing
2 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Noise Reduction in Speech Processing, Texte imprimé, 9783642002953 • Noise Reduction in Speech Processing, Texte imprimé, 9783642003592 • Noise Reduction in Speech Processing, Texte imprimé, 9783642101373 |
Indholdsfortegnelse:
- Problem Formulation
- Mean-Squared Error Criterion
- Pearson Correlation Coefficient
- Fundamental Properties
- Optimal Filters in the Time Domain
- Optimal Filters in the Frequency Domain
- Optimal Filters in the KLE Domain
- Optimal Filters in the Transform Domain
- Spectral Enhancement Methods
- A Practical Example: Multichannel Noise Reduction for Voice Communication in Spacesuits.