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Turbo Processing for Speech Recognition

IEEE Transactions on Cybernetics, 2014
Speech recognition is a classic example of a human/machine interface, typifying many of the difficulties and opportunities of human/machine interaction. In this paper, speech recognition is used as an example of applying turbo processing principles to the general problem of human/machine interface.
Todd K. Moon   +4 more
openaire   +2 more sources

Undergraduate speech processing awareness

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Teaching a speech processing course in an undergraduate engineering program is a challenge, especially in a country where research is not a priority. We address the concerns of providing a suitable training to students, of designing a syllabus under many constraints, of keeping students motivated and of finding the appropriate way of grading.
Marc Ressl   +2 more
openaire   +1 more source

Speech processing with a Boltzmann machine

ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Recent work on the representation of 'knowledge' in massively parallel networks has resulted in the development of the Boltzmann Machine. In such networks, 'knowledge' is represented by the pattern and strengths of interconnections between simple processing elements.
J. F. Trehern   +2 more
openaire   +1 more source

Pre-processing speech for speech recognition

The Journal of the Acoustical Society of America, 2010
A method for pre-processing speech, in particular for recognizing speech, including receiving a speech signal, separating a spectrum of said speech signal into a number of predetermined frequency sub-bands, analyzing said speech signal within each of said frequency sub-bands, generating respective band-dependent acoustic feature data for each of said ...
openaire   +1 more source

Speech preparation processes and speech apprehension

Communication Education, 1996
This study compared self‐reports of speech preparation activities by high and low public speaking apprehensive individuals. Due to an aversion to communication for high communication apprehensives (CA), it was predicted that high CAs would spend proportionally more time on non‐communication‐oriented preparation activities (e.g., note preparation) than ...
openaire   +1 more source

Prosody in Automatic Speech Processing

2020
Automatic speech processing (ASP) is understood as covering word recognition, the processing of higher linguistic components (syntax, semantics, and pragmatics), and the processing of computational paralinguistics (CP), which deals with speaker states and traits. This chapter attempts to track the role of prosody in ASP from the word level up to CP.
Batliner, Anton, Möbius, Bernd
openaire   +2 more sources

Recent advances in speech processing

International Conference on Acoustics, Speech, and Signal Processing, 2003
An overview is given of recent advances in the domain of speech recognition. The author focuses on speech recognition, but also mentions some progress in other areas of speech processing (speaker recognition, speech synthesis, speech analysis and coding) using similar methodologies.
openaire   +1 more source

Speech Processing for Audio Indexing

2008
This paper addresses some of the recent trends in speech processing, with a focus on speech-to-text transcription as a means to facilitate access to multimedia information in a multilingual context. A brief overview of automatic speech recognition is given along with indicative performance measures for a range of tasks. Enriched transcriptions, that is
Lori Lamel, Jean-Luc Gauvain
openaire   +1 more source

Levels of Processing of Speech and Non-Speech

1991
Abstract : These studies examined both signal-dependent factors, and listener- dependent factors. The examinations of signal factors include experiments on perceptual degradation due to signal interruption at critical rates (approximately 4cps), and studies mapping the early levels of representation of speech.
openaire   +1 more source

A review of deep learning techniques for speech processing

Information Fusion, 2023
Ambuj Mehrish   +2 more
exaly  

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