Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42)

Minker Wolfgang Nakamura Satoshi Markov Konstantin Sakti Sakriani

ISBN 10: 0387858296 / ISBN 13: 9780387858296

Edité par Springer, 2009

A propos de cet article

pp. 196.

N° de réf. du vendeur 7375214

Détails bibliographiques

• Titre: Incorporating Knowledge Sources into Statistical Speech Recognition (Lecture Notes in Electrical Engineering, 42)
• Éditeur: Springer
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 0387858296
• ISBN à 13 chiffres: 9780387858296
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.

Présentation de l'éditeur

The authors address the problem of developing efficient automatic speech recognition systems that maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training manageable and improving speech recognition performance.