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Herbig, Tobias; Gerl, Franz; Minker, Wolfgang - Self-Learning Speaker Identification - 9783642268809 - V9783642268809
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Self-Learning Speaker Identification

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Description for Self-Learning Speaker Identification paperback. Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition. Series: Signals and Communication Technology. Num Pages: 184 pages, biography. BIC Classification: UYQS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 10. Weight in Grams: 290.

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which enables the speech recognizer to create robust speaker dependent models In addition, this book gives a new approach to solve the reverse problem, how to improve speech recognition if speakers can be recognized. The speaker identification enables the speaker adaptation to adapt to different speakers which results in an optimal ... Read more

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Product Details

Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
184
Condition
New
Series
Signals and Communication Technology
Number of Pages
172
Place of Publication
Berlin, Germany
ISBN
9783642268809
SKU
V9783642268809
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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