The core problem of this research work is automated gender based speaker classification, that is, to imbibe into a machine the capability of identifying the gender of a human speaker, that is, to identify whether a human speaker is male or female. A gender-based speaker classification tool has been developed to automate the classification process. The tool is based on speech signal processing. With the help of speech signal processing, a speech signal is analyzed first, followed by extraction of features from the signal. During speech analysis, the speech signal is processed and classified for enabling the extraction of pitch. The feature extraction is performed over the classified speech by using the ‘Cepstral analysis’ to determine the pitch of a speech signal. This allows the gender-based speaker classification to be accomplished on the basis of the pitch value.
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Author of this book is enthusiastic and workaholic academician in the field of computer science and engineering. She has done her bachelor of technical education in information technology and her masters in the computer engineering. She has published various research paper in high repute international journal.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The core problem of this research work is automated gender based speaker classification, that is, to imbibe into a machine the capability of identifying the gender of a human speaker, that is, to identify whether a human speaker is male or female. A gender-based speaker classification tool has been developed to automate the classification process. The tool is based on speech signal processing. With the help of speech signal processing, a speech signal is analyzed first, followed by extraction of features from the signal. During speech analysis, the speech signal is processed and classified for enabling the extraction of pitch. The feature extraction is performed over the classified speech by using the 'Cepstral analysis' to determine the pitch of a speech signal. This allows the gender-based speaker classification to be accomplished on the basis of the pitch value. 80 pp. Englisch. Bestandsnummer des Verkäufers 9786200084125
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh JuhiAuthor of this book is enthusiastic and workaholic academician in the field of computer science and engineering. She has done her bachelor of technical education in information technology and her masters in the computer eng. Bestandsnummer des Verkäufers 293476746
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The core problem of this research work is automated gender based speaker classification, that is, to imbibe into a machine the capability of identifying the gender of a human speaker, that is, to identify whether a human speaker is male or female. A gender-based speaker classification tool has been developed to automate the classification process. The tool is based on speech signal processing. With the help of speech signal processing, a speech signal is analyzed first, followed by extraction of features from the signal. During speech analysis, the speech signal is processed and classified for enabling the extraction of pitch. The feature extraction is performed over the classified speech by using the 'Cepstral analysis' to determine the pitch of a speech signal. This allows the gender-based speaker classification to be accomplished on the basis of the pitch value.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Bestandsnummer des Verkäufers 9786200084125
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The core problem of this research work is automated gender based speaker classification, that is, to imbibe into a machine the capability of identifying the gender of a human speaker, that is, to identify whether a human speaker is male or female. A gender-based speaker classification tool has been developed to automate the classification process. The tool is based on speech signal processing. With the help of speech signal processing, a speech signal is analyzed first, followed by extraction of features from the signal. During speech analysis, the speech signal is processed and classified for enabling the extraction of pitch. The feature extraction is performed over the classified speech by using the 'Cepstral analysis' to determine the pitch of a speech signal. This allows the gender-based speaker classification to be accomplished on the basis of the pitch value. Bestandsnummer des Verkäufers 9786200084125
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Taschenbuch. Zustand: Neu. Gender-based Speaker Classification using ANFIS | An Adaptive Neuro-fuzzy Approach with MATLAB | Juhi Singh | Taschenbuch | 80 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200084125 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 116798435
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