The pronunciation filter technology is one of the important speech signal processing research field, with the high speed digital signal processing technology development, DSP chip has become the main tool speech signal processing DSP chip in single chip, real time realization complex on speech decoding algorithm, and can be easily algorithm, which are not update
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The pronunciation filter technology is one of the important speech signal processing research field, with the high speed digital signal processing technology development, DSP chip has become the main tool speech signal processing DSP chip in single chip, real time realization complex on speech decoding algorithm, and can be easily algorithm, which are not update
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In recent years, compressed sensing(CS) theory is the domestic and foreign scholars’research hot spot in signal processing fields, because its”joint sampling and compression”trait makes the A/D conversed digital sequence and conversion rate far lower than the traditional Nyquist sampling theorem, which is the most attractive. This thesis applies to CS theory in the speech signal
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Communication has played an important role in our daily life. The speech signal is an analog signal which has a continuous waveform in the time-domain. It must be digitalized before being processed by the computer. The first step of digitalization is sampling. Nyquist Sampling Theory is usually adopted in the digitalization. But it would bring
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Blind source separation is a process of recovering each individual original signal from a number of mixed-signals. Blind speech signal processing is the mind problem of blind source separation. In this paper, three kinds of blind speech signal processing models including normal, underdetermined and over determined are studied as follow:First, a blind separation algorithm PCA-ICA
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Blind source separation is a process of recovering each individual original signal from a number of mixed-signals. Blind speech signal processing is the mind problem of blind source separation. In this paper, three kinds of blind speech signal processing models including normal, underdetermined and over determined are studied as follow:First, a blind separation algorithm PCA-ICA
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Blind source separation is a process of recovering each individual original signal from a number of mixed-signals. Blind speech signal processing is the mind problem of blind source separation. In this paper, three kinds of blind speech signal processing models including normal, underdetermined and over determined are studied as follow:First, a blind separation algorithm PCA-ICA
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In China underwater robot speech recognition technology to the level of research hasbeen largely synchronized with foreign and Chinese speech recognition technology also hasits own characteristics and advantages. The development of speech recognition technology totoday, especially in small and medium-sized vocabulary, speaker-independent speechrecognition system accuracy has been through more than98%higher recognition accuracy onthe independent speech
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As the communication technologies developing significantly, the available frequency spectrum are more and more lacking. Reducing the occupied spectrum of the system becomes very important. This project applies near analog joint source-channel coding technology and combines OFDM method in order to reduce the bandwidth significantly.Based on realizing the history, development and current statement of coding
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As a technical method of man to exchange information, telecommunication is being used more and more. However, with its application being enlarged, the speech problem faced in telecommunication is prominent increasingly. In some situation, e.g. carkit of mobile telephone and teleconference, there to different extent exist the problems of speech signal processing including acoustic echo
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