Real-time Mozer phase recoding using a neural-network for speech

Details Real-time Mozer phase recoding using a neural-network for speech Real-time Mozer phase recoding using a neural-network for speech

1995-03-30

1997-11-25

MacDonald, Allen R.

395 214, 395 267, G10L 702

Patent

active

056920989

ABSTRACT:
A system and method for compressing speech using an artificial neural network to calculate the recoded phase vector (Mozer code) resulting from the spectral magnitude-to-phase transformation. Raw speech is equalized to remove the spectral tilt and segmented into analysis frames. The spectral magnitudes of each frame segment are determined at a plurality of points by a Fourier Transform, normalized, and applied to a neural net magnitude-to-phase transform calculator to provide a recoded phase vector. An Inverse Discrete Fourier Transform is used to calculate the new recoded speech waveform in which the two quarters with minimum power are zeroed to produce the compressed speech output signal.

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Static, Dynamic Strategies for Coding the Speech Waveform, "Mozer Coding", Chapter 2, Section 2.6, pp. 48-51, in Panos E. Papamichalis Practical Approaches to Speech Coding, Prentice-Hall, 1957.

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