Data processing: artificial intelligence – Neural network – Learning task
Patent
1997-06-25
1999-11-02
Hafiz, Tariq R.
Data processing: artificial intelligence
Neural network
Learning task
706 22, 706 23, 706 62, 706 45, 704203, G06E 100, G06E 300, G06F 1518, G06G 700
Patent
active
059787830
ABSTRACT:
Telecommunications processing is applied to a reference signal to generate a signal under test. A fidelity measure is generated characterizing the fidelity of the signal under test relative to the reference signal. A control signal is generated from the fidelity measure, where the control signal is used as a feedback signal to adjust the telecommunications processing. In one embodiment, the reference signal is a speech signal and the signal under test is a decoded speech signal generated by encoding, transmitting, and decoding the reference speech signal. The fidelity signal is an average mean opinion score (MOS) and the control signal is used to control the speech decoding processing. For example, the speech decoding processing may involve a speech decoder followed by a post filter, and the control signal is the cut-off frequency of the post filter. Such an embodiment may be applied to real-time speech processing to adjust the speech decoding processing in the receiver of a telecommunications system that includes a speech encoder in a transmitter and a communications network. Intermittently, the transmitter encodes reference signals that are also known to the receiver. The receiver performs the processing of the present invention to update its speech decoding processing to optimize speech quality.
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Meyers Martin H.
Tarraf Ahmed A.
Weaver Carl F.
Hafiz Tariq R.
Lucent Technologies - Inc.
Starks Wilbert L.
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