Results 141 to 150 of about 3,813 (182)
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The impact of the pitch on the estimation of MFCC
2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers, 2011In this paper, the impact of the pitch on the variability of MFCC, and their influence on the performance of the automatic speech recognition system, is analyzed. In case that a speaker has a high pitch, the distance between adjacent harmonics in the spectrum of voiced phonemes is larger, which results in poorer description of the spectral envelope ...
Niksa M. Jakovljevic +3 more
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Speech Emotion Recognition Based on Improved MFCC
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018Speech1 Emotion Recognition SER uses the Berlin EMO-DB database, seven emotions. Traditional emotional features and their statistics are used in SER. Two improved Mel Frequency Cepstrum Coefficients MFCC features are added to this experiment, which extract MFCC parameters from the energy curve and the fundamental frequency curve, that are energy MFCC ...
Yan Wang, Weiping Hu
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Auditory model based modified MFCC features
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010Using spectral and spectro-temporal auditory models, we develop a computationally simple feature vector based on the design architecture of existing mel frequency cepstral coefficients (MFCCs). Along with the use of an optimized static function to compress a set of filter bank energies, we propose to use a memory-based adaptive compression function to ...
Saikat Chatterjee, W. Bastiaan Kleijn
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Classification of Heart Sounds Using MFCC and CNN
2021An excellent heart sound classification system can be used as a good method to complete the daily heart sound detection under the condition of low cost and high efficiency, which is convenient to detect problems in the early stage of heart disease, and at the same time can alleviate the problem of medical staff shortage.
Kai Wang, Kang Chen
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Speaker recognition by combining MFCC and phase information
Interspeech 2007, 2007In conventional speaker recognition method based on MFCC, the phase information has been ignored. In this paper, we proposed a method that integrates the phase information on a speaker recognition method. The speaker identification experiments were performed using NTT database which consists of sentences uttered at normal speed mode by 35 Japanese ...
Seiichi Nakagawa +2 more
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MFCC and SVM Based Recognition of Chinese Vowels
2005The recognition of vowels in Chinese speech is very important for Chinese speech recognition and understanding. However, it is rather difficult and there has been no efficient method to solve it yet. In this paper, we propose a new approach to the recognition of Chinese vowels via the support vector machine (SVM) with the Mel-Frequency Cepstral ...
Fuhai Li 0001, Jinwen Ma, Dezhi Huang
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Noise robust speaker identification by dividing MFCC
2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), 2014Until now, systems using speaker identification have not been widely used. The main reason is because the identification accuracy is low. Therefore, in this paper, we report the results of modulation frequency analysis and propose a novel method using effectively modulation frequency components of vocal tract characteristics.
Kizuki Matsumoto +2 more
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An efficient MFCC extraction method in speech recognition
2006 IEEE International Symposium on Circuits and Systems, 2006This paper introduces a new algorithm of extracting MFCC for speech recognition. The new algorithm reduces the computation power by 53% compared to the conventional algorithm. Simulation results indicate the new algorithm has a recognition accuracy of 92.93%.
Wei Han +3 more
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An Alternative to MFCCs for ASR
Interspeech 2020, 2020Pegah Ghahramani +4 more
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Study on Fractal Dimension modified MFCC
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022Mi Pan, Li Wang
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