Results 31 to 40 of about 545,669 (204)
AI Education Matters: Teaching Hidden Markov Models
, 2018 In this column, we share resources for learning about and teaching Hidden Markov Models (HMMs). HMMs find many important applications in temporal pattern recognition tasks such as speech/handwriting/gesture recognition and robot localization.
Neller, Todd W.
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Speaker Recognition System Using Celluar Automata [PDF]
Engineering and Technology Journal, 2005 Speaker recognition and voice recognition are subfields of speech processing by computer. They work on the principle that there are features of speech that can be used to discriminate one speaker from another through three stages, preprocessing, feature ...
Aladdin Abdulwahid, Ahmed Al-Attab
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Communications MedicineBackground Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information.
Soroosh Tayebi Arasteh +8 more
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Impact of stimulus-related factors and hearing impairment on listening effort as indicated by pupil dilation [PDF]
, 2017 Previous research has reported effects of masker type and signal-to-noise ratio (SNR) on listening effort, as indicated by the peak pupil dilation (PPD) relative to baseline during speech recognition. At about 50% correct sentence recognition performance,
Kramer, Sophia E. +7 more
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Speech pattern recognition for forensic acoustic purposes [PDF]
TECCIENCIA, 2014 The present paper describes the development of a software for analysis of acoustic voice parameters (APAVOIX), which can be used for forensic acoustic purposes, based on the speaker recognition and identification. This software enables to observe in a clear manner, the parameters which are sufficient and necessary when performing a comparison between ...
Herrera Martínez, Marcelo +2 more
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Review of Automatic Estimation of Emotions in Speech
Applied SciencesIdentification of emotions exhibited in utterances is useful for many applications, e.g., assisting with handling telephone calls or psychological diagnoses. This paper reviews methods to identify emotions from speech signals.
Douglas O’Shaughnessy
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Music Information Retrieval: An Inspirational Guide to Transfer from Related Disciplines [PDF]
, 2012 The emerging field of Music Information Retrieval (MIR) has been influenced by neighboring domains in signal processing and machine learning, including automatic speech recognition, image processing and text information retrieval.
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ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES [PDF]
Journal of Engineering Science and Technology, 2015 In recent years, speech technology has become a vital part of our daily lives. Various techniques have been proposed for developing Automatic Speech Recognition (ASR) system and have achieved great success in many applications.
VIMALA C., RADHA V.
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Classification of emotional speech using spectral pattern features [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound.
Ali Harimi +3 more
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APLIKASI PENGENALAN UCAPAN DENGAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK UNTUK PENGENDALIAN SMART WHEELCHAIR [PDF]
, 2012 Speech recognition process can be done in many ways one of them with artificial neural networks. In order to be easily understood and to understand, it would require some method of characteristics extraction methods such as by LPC and Fourier ...
Hudhaya , Dewanto Arby
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