Abstract:
The quality of comfort noise generated by a speech decoder (93) during non-speech periods is improved by modifying (30, 75) comfort noise parameter values (33) normally used to generate the comfort noise. The comfort noise parameter values are modified in response to variability information (43) associated with a background noise parameter. The modified comfort noise parameter values (35) are then used to generate the comfort noise.
Abstract:
A linear predictive analysis-by-synthesis encoder includes a search algorithm block (50) and a vector quantizer (58) for vector quantizing optimal gains from a plurality of subframes in a frame. The internal encoder states are updated using (50, 52, 54, 56) the vector quantized gains.
Abstract:
The quality of comfort noise generated by a speech decoder (93) during non- speech periods is improved by modifying (30,75) comfort noise parameter values (33) normally used to generate the comfort noise. The comfort noise parameter values are modified in response to variability information (43) associated with a background noise parameter. The modified comfort noise parameter values (35) are then used to generate t he comfort noise.
Abstract:
A linear predictive analysis-by-synthesis encoder includes a search algorithm block (50) and a vector quantizer (58) for vector quantizing optimal gains from a plurality of subframes in a frame. The internal encoder states are updated (50, 52, 54, 56) using the vector quantized gains.
Abstract:
The quality of comfort noise generated by a speech decoder during non-speech periods is improved by modifying comfort noise parameter values normally used to generate the comfort noise. The comfort noise parameter values are modified in response to variability information associated with a background noise parameter. The modified comfort noise parameter values are then used to generate the comfort noise.
Abstract:
A linear predictive analysis-by-synthesis encoder includes a search algorithm block (50) and a vector quantizer (58) for vector quantizing optimal gains from a plurality of subframes in a frame. The internal encoder states are updated (50, 52, 54, 56) using the vector quantized gains.
Abstract:
The quality of comfort noise generated by a speech decoder (93) during non- speech periods is improved by modifying (30, 75) comfort noise parameter values (33) normally used to generate the comfort noise. The comfort noise parameter values are modified in response to variability information (43) associated with a background noise parameter. The modified comfort noise parameter values (35) are then used to generate the comfort noise.
Abstract:
A linear predictive analysis-by-synthesis encoder includes a search algorithm block (50) and a vector quantizer (58) for vector quantizing optimal gains from a plurality of subframes in a frame. The internal encoder states are updated using (50, 52, 54, 56) the vector quantized gains.
Abstract:
IN PRODUCING FROM AN ORIGINAL SPEECH SIGNAL A PLURALITY OF PARAMETERS FROM WHICH AN APPROXIMATION OF THE ORIGINAL SPEECH SIGNAL CAN BE RECONSTRUCTED, A FURTHER SIGNAL IS GENERATED IN RESPONSE TO THE ORIGINAL SPEECH SIGNAL, WHICH FURTHER SIGNAL IS INTENDED TO REPRESENT THE ORIGINALSPEECH SIGNAL. AT LEAST ONE OF THE PARAMETERS (DWE) IS DETERMINED USING FIRST AND SECOND DIFFERENCES BETWEEN THE ORIGINAL SPEECH SIGNAL AND THE FURTHER SIGNAL. THE FIRST DIFFERENCE (DW) IS A DIFFERENCE BETWEEN A WAVEFORM ASSOCIATED WITH THE ORIGINAL SPEECH SIGNAL AND A WAVEFORM ASSOCIATED WITH THE FURTHER SIGNAL, AND THE SECOND DIFFERENCE (DE) IS A DIFFERENCE BETWEEN AN ENERGY PARAMETER DERIVED FROM THE ORIGINAL SPEECH SIGNAL AND A CORRESPONDING ENERGY PARAMETER ASSOCIATED WITH THE FURTHER SIGNAL.FIGURE 5