Ultra Low Bit-Rate Speech Coding

CHF 79.15
Auf Lager
SKU
T175A06CIDQ
Stock 1 Verfügbar
Geliefert zwischen Do., 22.01.2026 und Fr., 23.01.2026

Details

"Ultra Low Bit-Rate Speech Coding" focuses on the specialized topic of speech coding at very low bit-rates of 1 Kbits/sec and less, particularly at the lower ends of this range, down to 100 bps. The authors set forth the fundamental results and trends that form the basis for such ultra low bit-rates to be viable and provide a comprehensive overview of various techniques and systems in literature to date, with particular attention to their work in the paradigm of unit-selection based segment quantization.

The book is for research students, academic faculty and researchers, and industry practitioners in the areas of speech processing and speech coding.


Fills gap and provides a consolidated treatment of ultra low bit-rate speech coding in one place Covers a difficult research problem of high-practical relevance and benefits researchers by providing an in-depth knowledge in this specialized area Includes supplementary material: sn.pub/extras

Autorentext

Prof. V. Ramasubramanian obtained his Ph.D. degree from Tata Institute of Fundamental Research (TIFR), Bombay in 1992. He is presently a Professor in PES Institute of Technology South Campus, Bangalore. He has been engaged in research in speech processing and related areas since 1984. Prior to the current professorship, he has worked in various institutions and universities, such as TIFR, Bombay (1984-99) as Research Scholar, Fellow and Reader; University of Valencia, Spain as Visiting Scientist (1991-92); Advanced Telecommunications Research (ATR) Laboratories, Kyoto, Japan as Invited Researcher (1996-97); Indian Institute of Science (IISc), Bangalore as Research Associate (2000-04) and Siemens Corporate Research & Technology (2005-13) as Senior Member Technical Staff and as Head of Professional Speech Processing - India (2006-09). His research interests include speech recognition, speaker recognition, speech coding, speech synthesis, speech enhancement, language identification, audio analytics and machine learning. He has over 50 research publications in these areas in international journals and conferences. He is inventor / co-inventor of 14 patents filed in India, Europe and USA.


Harish Doddala is a Product Manager at Oracle focusing on Platform strategy as applied to the Internet of Things. Prior to joining Oracle, Harish held positions at IBM Research and Siemens Corporate Technology in areas spanning Signal Processing, Machine Learning, Speech and Audio Processing and Analytics and Visualization of large data-sets. In these roles, he applied his expertise to areas such as low bandwidth and secure communication systems, biometrics, speech tools for education & learning and customer service improvement. Harish is a Fellow atMassachusetts Institute of Technology, System Design and Management and has published in international speech and audio conferences.


Inhalt

Introduction.- Ultra low bit-rate coders.- Unit selection framework.- Unified and optimal unit-selection framework.- Optimality and complexity considerations.- No residual transmission - Joint spectral-residual quantization.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781493913404
    • Genre Elektrotechnik
    • Auflage 2015
    • Sprache Englisch
    • Lesemotiv Verstehen
    • Anzahl Seiten 160
    • Größe H235mm x B155mm x T9mm
    • Jahr 2014
    • EAN 9781493913404
    • Format Kartonierter Einband
    • ISBN 1493913409
    • Veröffentlichung 25.10.2014
    • Titel Ultra Low Bit-Rate Speech Coding
    • Autor Harish Doddala , V. Ramasubramanian
    • Untertitel SpringerBriefs in Speech Technology
    • Gewicht 283g
    • Herausgeber Springer New York

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470