Results 251 to 260 of about 1,501,555 (284)
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2013
In the last decades robust speech recognition systems have been developed based on a big effort on constructing large-scale speech corpora and a dramatically technological progress in signal processing, algorithms, architectures and hardware. The applications of the recognition systems range from small vocabulary recognition for dialing, to medium size
Daniel Vasquez +2 more
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In the last decades robust speech recognition systems have been developed based on a big effort on constructing large-scale speech corpora and a dramatically technological progress in signal processing, algorithms, architectures and hardware. The applications of the recognition systems range from small vocabulary recognition for dialing, to medium size
Daniel Vasquez +2 more
openaire +1 more source
Context Dependent Phoneme Recognition
1999The paper present one way of contextual information incorporation into continuous speech recognition systems and an application of the neural network (multilayer perceptron) to context dependent phoneme recognition. An overview of the problem is given and a survey of these techniques considered from the point of training set creation and the hybrid ...
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1990
This paper is concerned with the problem of phoneme recognition of the clipped speech signal.
G. D. Frolov +3 more
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This paper is concerned with the problem of phoneme recognition of the clipped speech signal.
G. D. Frolov +3 more
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Examining feature vector for phoneme recognition
2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2017The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given.
Grazina Korvel, Bozena Kostek
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Phoneme recognition with staged neural networks
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000Presents a staged series of artificial neural networks (ANNs) for phoneme recognition for text-to-speech applications. Contrary to much of the prior published literature this approach is not restricted to monosyllabic words or the pronunciation of single multi-syllabic words, but can readily be embodied in a program that allows for the reading of a ...
Fabio A. Arciniegas, Mark J. Embrechts
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Bangla Phoneme Recognition: Probabilistic Approach
2020This research is about Bangla (Bengali) phoneme recognition to investigate the role of different window frames (during framing) for speech recognition accuracy. Still, there are numerous scopes for research on Bangla phoneme recognition. Power spectral analysis, linear predictor coefficient, Mel frequency cepstral coefficient analysis method and feed ...
Md. Shafiul Alam Chowdhury +1 more
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Speaker recognition based on Arabic phonemes
Speech Communication, 2017Abstract In this paper, we investigate the effect of Arabic phonemes on the performance of speaker recognition systems. The investigation reveals that some Arabic phonemes have a strong effect on the recognition rate of such systems. The performance of speaker recognition systems can be improved and their execution time can be reduced by utilizing ...
Mansour Alsulaiman +2 more
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Phoneme recognition using neural networks
2008 15th IEEE International Conference on Electronics, Circuits and Systems, 2008A phoneme recognition system using an anti-symmetric multi-stage filter bank structure is presented. In a filter bank the input signal is convolved with digital filters having different cut-off frequencies so that the signal is analysed at different frequencies with different resolutions. The percentage energy content in each signal decomposition level
Denise Vassallo, Edward Gatt
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Phoneme environment clustering for speech recognition
International Conference on Acoustics, Speech, and Signal Processing, 2003A general principle is proposed to solve problems in context-dependent phoneme segment (or subword unit) based speech recognition, namely, how to choose the set of units and how to estimate the context effect missing in the training data. A phoneme environment clustering algorithm, which automatically selects an optimal set of allophones and estimates ...
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Architectural Approaches for Phonemes Recognition Systems
2018Based on the literature, it is possible to build voice recognition systems by using voice synthesizers and voice command controls. In addition, phonemes recognition can be made by implementing algorithms already created for this kinds of tasks. Nevertheless, phonemes recognition might generate some errors, when the implementation of such algorithms is ...
Luis Wanumen, Hector Florez
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