نتایج جستجو برای: phoneme recognition

تعداد نتایج: 254307  

In the present paper, the phonological feature geometry of the Persian phonemes is analyzed in the form of articulate-free and articulate-bound features based on the articulator model of the nonlinear phonology. Then, the reference phonetic pattern of each feature that consists of one or a set of acoustic correlates, characterized by the quantitative or qualitative values in its phonological re...

1999
Sang-Hwa Chung Min-Uk Park Hyung-Soon Kim

This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs of context dependent phonemes to the multiprocessors, computes output probabilities in parallel, and enhances the Viterbi beam search with a message passing mechanism. The algorithm is implemented in a multi-transpute...

2008
Domokos József Toderean Gavril

Phoneme classification and recognition is the first step to large vocabulary continuous speech recognition. This step represents the acoustic modeling part of such a system. In hybrid speech recognition systems phoneme recognition is made by artificial neural networks (ANN’s). The main objective of this paper is the investigation of dynamic ANN’s, namely the Time-Delay Neural Networks (TDNN) an...

1995
L. Bahl P. Brown W. Chou B. H. Juang C. H. Lee Y. L. Chow A. Nadas D. Nahamoo V. Valtchev D. Kanevsky

the following optimization of the discriminative functions the extended BW algorithm (12) was applied to re-estimate the mixtures of the phoneme models. All phoneme alternatives within the automatically derived phoneme seg-mentation were used in the calculation of the discriminance measure. According to (6), the mixtures of the correct and of all competing models were updated to minimize the ob...

Journal: :The Journal of the Acoustical Society of America 1988

Journal: :EURASIP Journal on Audio, Speech, and Music Processing 2011

Journal: :International Journal of Machine Intelligence and Sensory Signal Processing 2013

2010
Ladan Golipour Douglas D. O'Shaughnessy

In this paper, we propose a segment-based non-parametric method of monophone recognition. We pre-segment the speech utterance into its underlying phonemes using a group-delay-based algorithm. Then, we apply the kNN/SASH phoneme classification technique to classify the hypothesized phonemes. Since phoneme boundaries are already known during the decoding, the search space is very limited and the ...

Journal: :Journal of experimental psychology. Learning, memory, and cognition 2007
Ardi Roelofs Rebecca Ozdemir Willem J M Levelt

In 4 chronometric experiments, influences of spoken word planning on speech recognition were examined. Participants were shown pictures while hearing a tone or a spoken word presented shortly after picture onset. When a spoken word was presented, participants indicated whether it contained a prespecified phoneme. When the tone was presented, they indicated whether the picture name contained the...

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