Bishnu Atal | University of Washington (original) (raw)
Papers by Bishnu Atal
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Tcom, 1979
v-youzha
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Voice Communication Between Humans and Machines, Nov 1, 1994
Research in speech recognition and synthesis over the past several decades has brought speech tec... more Research in speech recognition and synthesis over the past several decades has brought speech technology to a point where it is being used in "real-world" applications. However, despite the progress, the perception remains that the current technology is not flexible enough to allow easy voice communication with machines. The focus of speech research is now on producing systems that are accurate and robust but that do not impose unnecessary constraints on the user. This chapter takes a critical look at the shortcomings of the current speech recognition and synthesis algorithms, discusses the technical challenges facing research, and examines the new directions that research in speech recognition and synthesis must take in order to form the basis of new solutions suitable for supporting a wide range of applications.
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ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1979
ABSTRACT
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ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1983
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ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1982
ABSTRACT
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ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1981
ABSTRACT
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ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1979
ABSTRACT
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IEEE Transactions on Communications, 1979
v-youzha
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Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Some of the distortions produced by CELP (code-excited linear prediction) coders are characterize... more Some of the distortions produced by CELP (code-excited linear prediction) coders are characterized. It is found that the coder does not reproduce high frequencies well and that rapid changes in the speech signal are not adequately tracked. Within the framework of the current CELP concept, strategies are discussed that can reduce these distortions. Nonstationarities in the speech signal can be better followed by allowing a flexible allocation of the bits used for the excitation. However, the bit allocation procedures and the way the bits are used need further improvement. The reproduction of higher frequencies can be improved by changing the error-weighting procedure or by shaping the code-book excitation functions
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ABSTRACT An abstract is not available.
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The field of digital speech processing includes the areas of speech coding, speech synthesis, and... more The field of digital speech processing includes the areas of speech coding, speech synthesis, and speech recognition. With the advent of faster computation and high speed VLSI circuits, speech processing algorithms are becoming more sophisticated, more robust, and more reliable. As a result, significant advances have been made in coding, synthesis, and recognition, but, in each area, there still remain great challenges in harnessing speech technology to human needs. In the area of speech coding, current algorithms perform well at bit rates down to 16 kbits/sec. Current research is directed at further reducing the coding rate for high-quality speech into the data speed range, even as low as 2.4 kbits/sec. In text-to-speech synthesis speech is produced which is very intelligible but is not yet completely natural. Current research aims at providing higher quality and intelligibility to the synthesis speech produced by these systems. Finally, in the area of speech and speaker recognitio...
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ABSTRACT
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Tcom, 1979
v-youzha
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Bookmarks Related papers MentionsView impact
Voice Communication Between Humans and Machines, Nov 1, 1994
Research in speech recognition and synthesis over the past several decades has brought speech tec... more Research in speech recognition and synthesis over the past several decades has brought speech technology to a point where it is being used in "real-world" applications. However, despite the progress, the perception remains that the current technology is not flexible enough to allow easy voice communication with machines. The focus of speech research is now on producing systems that are accurate and robust but that do not impose unnecessary constraints on the user. This chapter takes a critical look at the shortcomings of the current speech recognition and synthesis algorithms, discusses the technical challenges facing research, and examines the new directions that research in speech recognition and synthesis must take in order to form the basis of new solutions suitable for supporting a wide range of applications.
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ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1979
ABSTRACT
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ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1983
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ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1982
ABSTRACT
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ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1981
ABSTRACT
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ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1979
ABSTRACT
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IEEE Transactions on Communications, 1979
v-youzha
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Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Some of the distortions produced by CELP (code-excited linear prediction) coders are characterize... more Some of the distortions produced by CELP (code-excited linear prediction) coders are characterized. It is found that the coder does not reproduce high frequencies well and that rapid changes in the speech signal are not adequately tracked. Within the framework of the current CELP concept, strategies are discussed that can reduce these distortions. Nonstationarities in the speech signal can be better followed by allowing a flexible allocation of the bits used for the excitation. However, the bit allocation procedures and the way the bits are used need further improvement. The reproduction of higher frequencies can be improved by changing the error-weighting procedure or by shaping the code-book excitation functions
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ABSTRACT An abstract is not available.
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The field of digital speech processing includes the areas of speech coding, speech synthesis, and... more The field of digital speech processing includes the areas of speech coding, speech synthesis, and speech recognition. With the advent of faster computation and high speed VLSI circuits, speech processing algorithms are becoming more sophisticated, more robust, and more reliable. As a result, significant advances have been made in coding, synthesis, and recognition, but, in each area, there still remain great challenges in harnessing speech technology to human needs. In the area of speech coding, current algorithms perform well at bit rates down to 16 kbits/sec. Current research is directed at further reducing the coding rate for high-quality speech into the data speed range, even as low as 2.4 kbits/sec. In text-to-speech synthesis speech is produced which is very intelligible but is not yet completely natural. Current research aims at providing higher quality and intelligibility to the synthesis speech produced by these systems. Finally, in the area of speech and speaker recognitio...
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