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A Comprehensive Review of Machine Learning Approaches for Speech Emotion Recognition

Trupti Dilip Kalokhe, Prasad P. Kulkarni
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Reduced Visual-Cortex Reorganization Before and After Cochlear Implantation Relates to Better Speech Recognition Ability. [PDF]

J Neurosci Res
Weglage A, Layer N, Radecke JO, Meister H, Müller V, Lang-Roth R, Walger M, Sandmann P.   +7 more
europepmc   +1 more source

Zero-Shot Recognition of Dysarthric Speech Using Commercial Automatic Speech Recognition and Multimodal Large Language Models [PDF]

Ali Alsayegh, Tariq Masood
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Speech-in-speech recognition in preschoolers

International Journal of Audiology, 2022
The purpose of this study was to 1) characterise word recognition in a speech masker for preschoolers tested using closed-set, forced-choice procedures and 2) better understand the stimulus and listener factors affecting performance.Speech recognition thresholds (SRTs) in a two-talker masker were evaluated using a picture-pointing response with two ...
Christina Dubas, Heather Porter, Ryan W. McCreery, Emily Buss, Lori J. Leibold   +4 more
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Speech Recognition Software

Dental Update, 2001
This article discusses the use of speech recognition software by means of reviewing two leading packages. Both programs require considerable training before they can be used effectively, but are then able to convert continuous speech into text with varying degrees of success.
S, Weerakone, P J, Turner
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Parallel speech recognition

5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1997
Computer speech recognition has been very successful in limited domains and for isolated word recognition. However, widespread use of large-vocabulary continuous-speech recognizers is limited by the speed of current recognizers, which cannot reach acceptable error rates while running in real time.
Steven Phillips, Anne Rogers
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Speech recognition device and speech recognition method

The Journal of the Acoustical Society of America, 2009
Each word to be recognized is represented by hidden Markov models for male and female and an output probability function and a transition probability preset in hidden Markov models for male and female are prestored in a ROM (6). With reference to feature parameters detected by a feature detecting section (3) and the hidden Markov models, a speech ...
Toshiyuki Miyazaki, Yoji Ishikawa
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Speech recognition method and speech recognition device

The Journal of the Acoustical Society of America, 2002
In order to realize a speech recognition method and speech recognition device that reduce erroneous recognition for words that are not to be recognized and ambient sounds, and improve the recognition capability, characteristic parameters of words to be recognized and characteristic parameters of words that are not to be recognized and ambient sounds ...
Hiroshi Shinotsuka, Noritoshi Hino
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Speech Recognition

2012
Speech recognition is concerned with converting the speech waveform, an acoustic signal, into a sequence of words. Today's approaches are based on a statistical modellization of the speech signal. This article provides an overview of the main topics addressed in speech recognition, which are, acoustic-phonetic modelling, lexical representation ...
Lori Lamel, Jean-Luc Gauvain
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Speech recognition based on speech units

European Conference on Speech Technology, 1987
In a classical quantization system, each vector is represented by the nearest centroid; two vectors belonging to the same class are then indistinguishable. In order to mitigate this situation, we take into account the two nearest neighbours and define a “belonging degree” calculated from the distances between the vector and the two centroids.
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