Monograph10.1002/0471668850
Speech Coding Algorithms
Wai C. Chu
- 18 Apr 2003
300
About: The article was published on 18 Apr 2003. The article focuses on the topics: Vector sum excited linear prediction & Speech coding.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Spot Me if You Can: Uncovering Spoken Phrases in Encrypted VoIP Conversations
Charles V. Wright,Lucas Ballard,Scott E. Coull,Fabian Monrose,Gerald M. Masson +4 more
- 18 May 2008
TL;DR: Results indicate that a passive observer can identify phrases from a standard speech corpus within encrypted calls with an average accuracy of 50%, and with accuracy greater than 90% for some phrases, calling into question the efficacy of current VoIP encryption standards.
Audio classification and categorization based on wavelets and support vector Machine
TL;DR: An improved audio classification and categorization technique that makes use of wavelets and support vector machines (SVMs) to accurately classify and categorize audio data.
157
•Book
Multimedia Signals and Systems
Srdjan Stankovic,Irena Orovic,Ervin Sejdic +2 more
- 30 Sep 2012
TL;DR: Multimedia Signals and Systems is an introductory text, designed for students or professionals and researchers in other fields, with a need to learn the basics of signals and systems.
An Excitation Model for HMM-Based Speech Synthesis Based on Residual Modeling
Ranniery Maia,Tomoki Toda,Heiga Zen,Yoshihiko Nankaku,Keiichi Tokuda +4 more
- 01 Aug 2007
TL;DR: Preliminary results show that the novel excitation model in question eliminates the unnaturalness of synthesized speech, being comparable in quality to the the best approaches thus far reported to eradicate the buzziness of HMM-based synthesizers.
98
Sound event recognition in unstructured environments using spectrogram image processing
Jonathan J. Dennis
- 01 Jan 2014
TL;DR: The approach taken is to interpret the sound event as a two-dimensional spectrogram image, with the two axes as the time and frequency dimensions, which enables novel methods for SER to be developed based on spectrogramimage processing, which are inspired by techniques from the field of image processing.
Related Papers (5)
J. R. Deller,John G. Proakis,John H. L. Hansen +2 more
- 01 Mar 1993
Allen Gersho,Robert M. Gray +1 more
- 01 Jan 1991
Lawrence R. Rabiner,Biing-Hwang Juang +1 more
- 01 Jan 1993
John Makhoul
- 01 Apr 1975