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IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network
Interspeech, 2019Numerous compression and acceleration techniques achieved state-of-the-art results for classification tasks in speech processing. However, the same techniques produce unsatisfactory performance for regression tasks, because of the different natures of ...
Yu-Chen Lin +4 more
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Steganalysis of Compressed Speech
The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006Based on the analyzing of the redundancy of coded parameters in G.723.1, a novel approach to detect hiding information is proposed in this paper. By using the statistical value of increaser entropy, this scheme can not only detect hidden messages embedded in compressed speech, but also estimate the embedded message length accurately .The experimental ...
Bao Chun-lan +2 more
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Speech Compression and Recognition
2021This chapter is devoted to intriguing topic of speech processing. We learn mechanisms of voice production and become familiar with our human speech synthesis system and its computer model. We recognize a very important role of vocal folds (cords) in excitation of our vocal tract with air flowing from the lungs.
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International Journal of Audiology, 2019
Objective: Adaptive compression methods in hearing aids have been developed to maximise audibility while preserving temporal envelope modulations. Increasing the number of channels may improve listening comfort for loud sounds.
Varsha Rallapalli, Joshua M Alexander
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Objective: Adaptive compression methods in hearing aids have been developed to maximise audibility while preserving temporal envelope modulations. Increasing the number of channels may improve listening comfort for loud sounds.
Varsha Rallapalli, Joshua M Alexander
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Time Compressed Speech—a Perspective
Journal of Communication, 1968It has now been fifteen years since Garvey published the results of his laborious first attempt to study the effects of time-compressing speech. While there has not until recently been a very heavy investment in research in this area, we have now reached a time when we may ask what we have learned in the interim. What do we need to know?
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Speech compression and encryption based on discrete wavelet transform and chaotic signals
Multimedia tools and applications, 2021A. Hameed
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Compressed Speech: Correlates of Listening Ability
Journal of Communication, 1968To identify sources of individual differences in the ability to comprehend compressed speech, a battery of tests was administered to 52 college students. The criterion variable was performance on four multiple choice tests based on the content of four recorded history passages.
H L, Friedman, R L, Johnson
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2009
Speech compression, also known as speech encoding or simply speech coding, means reducing the amount of data required to represent speech. Speech encoding is becoming increasingly vital for embedded systems that involve speech processing. This section will discuss general principles and types of speech encoding techniques, and briefly address the usage
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Speech compression, also known as speech encoding or simply speech coding, means reducing the amount of data required to represent speech. Speech encoding is becoming increasingly vital for embedded systems that involve speech processing. This section will discuss general principles and types of speech encoding techniques, and briefly address the usage
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Speech Compression Technique Using Compressive Sensing Theory
2017This chapter presents the application of compressive sensing (CS) theory for compression of a speech signal. The speech signal is first converted into its sparse coefficients using a signal transform. Then compressed sparse measurements of the speech signal are generated using its sparse coefficients and a measurement matrix, generated using normal ...
Rohit Thanki +2 more
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Optimized Structural Compressed Sensing Matrices for Speech Compression
IETE Journal of Research, 2018Traditionally, random sensing matrices such as Gaussian are widely used in Compressed Sensing (CS).
Yuvraj V Parkale, Sanjay L Nalbalwar
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