System and method for compressed domain estimation of the signal to noise ratio of a coded speech signal
AssigneeNuance Communications, Inc.
InventorsJose Lainez, Daniel A. Barreda, Dushyant Sharma, Patrick Naylor, Sridhar Pilli
Life of this patent
Estimating the term…
Abstract
The present disclosure is directed towards a process for estimating the signal to noise ratio of a speech signal. The process may include receiving, at a computing device, a speech signal having a bitstream and a signal-to-noise ratio (“SNR”) associated therewith. The process may further include estimating the SNR directly from the bitstream or using a partial decoder that is configured to extract one or more parameters, the parameters including at least one of a fixed codebook gain, an adaptive codebook gain, a pitch lag, and a line spectral frequency (“LSF”) coefficient.
Claims20
A method comprising:
- receiving, at a computing device, a speech signal having a bitstream and a signal-to-noise ratio (“SNR”) associated therewith;
- and
- estimating the SNR directly from the bitstream or using a partial decoder that is configured to extract one or more parameters, the parameters including at least one of a fixed codebook gain, an adaptive codebook gain, a pitch lag, and a line spectral frequency (“LSF”) coefficient.
A system comprising:
- one or more computing devices configured to receive a speech signal having a bitstream and a signal-to-noise ratio (“SNR”) associated therewith, the one or more computing devices being further configured to estimate the SNR directly from the bitstream or using a partial decoder that is configured to extract one or more parameters, the parameters including at least one of a fixed codebook gain, an adaptive codebook gain, a pitch lag, and a line spectral frequency (“LSF”) coefficient.
Dependencies are inferred from the claim text.