Qualcomm Incorporated

Ethan Robert Duni

Vivek Rajendran

Venkatesh Krishnan

Venkatraman Atti

Christian Pietsch

Pengjun Huang

Christoph A Joetten

Marc W Werner

Christian Sgraja

Georg Frank

Eugene Baik

Ashish Kumar Tawari

Eugene J Baik

Venkatraman Srinivasa Atti

A method of bit allocation is described. The method includes, for each among a plurality of vectors, calculating a corresponding one of a plurality of gain factors. The method also includes, for each among the plurality of vectors, calculating a corresponding bit allocation that is based on the gain factor. The method further includes, for at least one among the plurality of vectors, determining that the corresponding bit allocation is not greater than a minimum allocation value. The method additionally includes, in response to the determining, for each of the at least one vector, changing the corresponding bit allocation.

Systems, methods, apparatus, and computer-readable media for dynamic bit allocation

A method of processing an audio signal is described. The method includes selecting one among a plurality of entries of a codebook based on information from the audio signal. The method also includes determining locations, in a frequency domain, of zero-valued elements of a first signal that is based on the selected codebook entry. The method further includes calculating energy of the audio signal at the determined frequency-domain locations. The method additionally includes calculating a value of a measure of a distribution of the energy of the audio signal among the determined frequency-domain locations. The method also includes calculating a noise injection gain factor based on the calculated energy and the calculated value.

Systems, methods, apparatus, and computer-readable media for noise injection

Improved audio classification is provided for encoding applications. An initial classification is performed, followed by a finer classification, to produce speech classifications and music classifications with higher accuracy and less complexity than previously available. Audio is classified as speech or music on a frame by frame basis. If the frame is classified as music by the initial classification, that frame undergoes a second, finer classification to confirm that the frame is music and not speech (e.g., speech that is tonal and/or structured that may not have been classified as speech by the initial classification). Depending on the implementation, one or more parameters may be used in the finer classification. Example parameters include voicing, modified correlation, signal activity, and long term pitch gain.

Multiple coding mode signal classification

A method of noise-robust speech classification is disclosed. Classification parameters are input to a speech classifier from external components. Internal classification parameters are generated in the speech classifier from at least one of the input parameters. A Normalized Auto-correlation Coefficient Function threshold is set. A parameter analyzer is selected according to a signal environment. A speech mode classification is determined based on a noise estimate of multiple frames of input speech.

Noise-robust speech coding mode classification

A scheme for coding a set of transform coefficients that represent an audio-frequency range of a signal uses a harmonic model to parameterize a relationship between the locations of regions of significant energy in the frequency domain.

Systems, methods, apparatus, and computer-readable media for coding of harmonic signals

A multistage shape vector quantizer architecture uses information from a selected first-stage codebook vector to generate a rotation matrix. The rotation matrix is used to rotate the direction of the input vector to support shape quantization of the first-stage quantization error.

Systems, methods, apparatus, and computer-readable media for multi-stage shape vector quantization

A system is provided for transmitting information through a speech codec (in-band) such as found in a wireless communication network. A modulator transforms the data into a spectrally noise-like signal based on the mapping of a shaped pulse to predetermined positions within a modulation frame, and the signal is efficiently encoded by a speech codec. A synchronization sequence provides modulation frame timing at the receiver and is detected based on analysis of a correlation peak pattern. A request/response protocol provides reliable transfer of data using message redundancy, retransmission, and/or robust modulation modes dependent on the communication channel conditions.

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San Diego, CA, United States of America

Ethan Robert Duni