Results 251 to 260 of about 132,214 (304)
Masked-speech Recognition Using Human and Synthetic Cloned Speech. [PDF]
Trends HearCalandruccio L +3 more
europepmc +1 more source
Association of Tinnitus With Speech Recognition and Executive Functions in Older Adults. [PDF]
Trends HearSommerhalder N +5 more
europepmc +1 more source
A Piezoelectric Micromachined Ultrasonic Transducer-Based Bone Conduction Microphone System for Enhancing Speech Recognition Accuracy. [PDF]
Micromachines (Basel)Liu C, Wang X, Xiao J, Zhou J, Wu G.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Speech-in-speech recognition in preschoolers
International Journal of Audiology, 2022The 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 +4 more
openaire +2 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
Speech recognition device and speech recognition method
The Journal of the Acoustical Society of America, 2009Each 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
openaire +1 more source
Speech recognition method and speech recognition device
The Journal of the Acoustical Society of America, 2002In 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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources