Linear predictive coding

About: Linear predictive coding is a research topic. Over the lifetime, 6565 publications have been published within this topic receiving 142991 citations. The topic is also known as: Linear predictive coding, LPC.

Voice conversion system and methodology

Abstract: A voice conversion system and methodology employing a codebook mapping approach to transforming a source voice to sound like a target voice. Each speech frame is represented by a weighted average of codebook entries (304). The weights represent a perceptual distance of the speech frame and may be refined by a gradient descent analysis. The vocal tract characteristics, represented by a line spectral frequency vector (302), the excitation characteristics (308), represented by a linear predictive coding residual, the duration, and the amplitude of the speech frame are transformed in the same weighted-average framework.

Speech encoding at variable bit rate

Abstract: The invention is related digital speech encoding. In a speech codec according to the invention, for modeling a speech signal (301) both prediction parameters (321, 322, 331) modeling a speech signal in a short term and prediction parameters (341, 342, 351) modeling a speech signal in a long term are used. Each prediction parameter (321, 322, 331, 341, 342, 351) is presented using a certain accuracy, in a digital system with a certain number of bits. In speech encoding according to the invention the number of bits used for presenting prediction parameters (321, 322, 331, 341, 342, 351) is adjusted based upon information parameters (321, 322, 331, 341, 342, 351) obtained from a short-term LPC-analysis (32) and from a long-term LTP-analysis (31, 34, 35). The invention is particularly suitable for use at low data transfer speeds, because it offers a speech encoding method of even quality and low average bit rate.

Introducing Speech and Language Processing

Abstract: 1. Introduction 2. Sounds and numbers 3. Digital filters and resonators 4. Frequency analysis and linear predictive coding 5. Finite state machines 6. Introduction to speech recognition techniques 7. Probabilistic finite-state models 8. Parsing 9. Using probabilistic grammars.

Speech repair: quick error correction just by using selection operation for speech input interfaces.

Abstract: In this paper, we propose a novel speech input interface function, called “Speech Repair” in which recognition errors can be easily corrected by selecting candidates. During the speech input, this function displays not only the typical speechrecognition result but also other competitive candidates. Each word in the result is separated by line segments and accompanied by other word candidates. A user who finds a recognition error can simply select the correct word from the candidates for that temporal region. In order to overcome the difficulty of generating appropriate candidates, we adopted a confusion network that can condense a huge internal word graph of a large vocabulary continuous speech recognition (LVCSR) system. In our experiments, almost all recognition errors were corrected and the effectiveness of speech repair was confirmed.