Quality improvement techniques in an audio encoder

• US 9,443,525 B2
• Filed: 06/30/2014
• Issued: 09/13/2016
• Est. Priority Date: 12/14/2001
• Status: Expired due to Term

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Chen, Wei-Ge, Thumpudi, Naveen, Lee, Ming-Chieh
• Primary Examiner(s): Serrou, Abdelali
• Application Number:
  US14/320,016
• Publication Number:
  US 20140316788A1
• Time in Patent Office: 806 Days
• Field of Search: 704500-504
• US Class Current: 1/1
• CPC Class Codes: G10L 19/002 Dynamic bit allocation for perceptual audio coders G10L19/032
• CPC Class Codes: G10L 19/008 Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
• CPC Class Codes: G10L 19/02 using spectral analysis, e.g. transform vocoders or subband vocoders

Abstract

An audio encoder implements multi-channel coding decision, band truncation, multi-channel rematrixing, and header reduction techniques to improve quality and coding efficiency. In the multi-channel coding decision technique, the audio encoder dynamically selects between joint and independent coding of a multi-channel audio signal via an open-loop decision based upon (a) energy separation between the coding channels, and (b) the disparity between excitation patterns of the separate input channels. In the band truncation technique, the audio encoder performs open-loop band truncation at a cut-off frequency based on a target perceptual quality measure. In multi-channel rematrixing technique, the audio encoder suppresses certain coefficients of a difference channel by scaling according to a scale factor, which is based on current average levels of perceptual quality, current rate control buffer fullness, coding mode, and the amount of channel separation in the source. In the header reduction technique, the audio encoder selectively modifies the quantization step size of zeroed quantization bands so as to encode in fewer frame header bits.

Claims

1. In a transform-based audio encoder, a method comprising:

receiving, at the transform-based audio encoder, an input audio signal; and

with the transform-based audio encoder, encoding the input audio signal to produce compressed audio data in a bitstream, including;

converting a block of samples of the input audio signal into transform coefficients;

weighting at least some of the transform coefficients according to step-size values of bands for the transform coefficients;

identifying any of the bands in which transform coefficients are all quantized to zero;

based on the identification of the bands in which transform coefficients are all quantized to zero, modifying the step-size values of at least some of said any identified bands in order to encode the step-size values of the bands in fewer bits, including, for a given band of said any identified bands, setting a new step-size value to match a step-size value of an adjacent band; and

encoding the step-size values of the bands.

2. The method of claim 1 further comprising, as part of the encoding the input audio signal:

performing band truncation that causes transform coefficients of at least some of the bands to be quantized to zero.

3. The method of claim 1 wherein the encoding the step-size values comprises:

differential coding of the step-size values; and

entropy coding of results of the differential coding.

4. The method of claim 1 wherein the step-size values are quantization step-size values organized as a quantization matrix.

8. The method of claim 3 wherein the entropy coding includes variable length coding.

14. The method of claim 1 further comprising, as part of the encoding the input audio signal:

quantizing the weighted transform coefficients, wherein the quantizing causes transform coefficients of at least some bands to be quantized to zero.

16. The method of claim 1 wherein the given band and the adjacent band are adjacent in terms of frequency range.

5. A computer system comprising a processor and memory, wherein the computer system implements a transform-based audio encoder comprising:

a frequency transformer for converting blocks of input audio samples of an input audio signal to transform coefficients;

a weighter for weighting at least some of the transform coefficients according to quantization step-sizes of quantization bands for the transform coefficients; and

a quantization matrix encoder for encoding a quantization matrix in a header for a frame of the input audio signal, the encoding the quantization matrix comprising encoding the quantization step-sizes of the quantization bands in the quantization matrix, the quantization matrix encoder further operating to identify any of the quantization bands with zeroed transform coefficients and to modify the quantization step-sizes of at least some of such identified quantization bands in order to encode the quantization matrix with fewer bits in the header, including, for a given band of such identified quantization bands, setting a new quantization step-size to match a quantization step-size value of an adjacent band, wherein the given band and the adjacent band are adjacent in terms of frequency range.

6. The computer system of claim 5 wherein the audio encoder further comprises:

a band truncator for selectively zeroing transform coefficients of a portion of the quantization bands.

7. The computer system of claim 5 wherein the encoding the quantization step-sizes comprises:

differential coding of the quantization step-sizes; and

entropy coding of results of the differential coding.

18. The computer system of claim 7 wherein the entropy coding includes variable length coding.

19. The computer system of claim 5 wherein the audio encoder further comprises a quantizer for quantizing the weighted transform coefficients.

9. One or more computer-readable media storing computer-executable instructions for causing a computing device programmed thereby to perform processing, the one or more computer-readable media being selected from the group consisting of non-volatile memory and magnetic disk, the processing comprising:

receiving an input audio signal; and

encoding the input audio signal to produce compressed audio data in a bitstream, including;

converting a block of samples of the input audio signal into transform coefficients;

weighting at least some of the transform coefficients according to step-size values of bands for the transform coefficients;

identifying any of the bands in which transform coefficients are all quantized to zero;

based on the identification of the bands in which transform coefficients are all quantized to zero, modifying the step-size values of at least some of said any identified bands in order to encode the step-size values of the bands in fewer bits, including, for a given band of said any identified bands, setting a new step-size value to match a step-size value of an adjacent band; and

encoding the step-size values of the bands.

10. The one or more computer-readable media of claim 9 wherein the processing further comprises, as part of the encoding the input audio signal:

performing band truncation that causes transform coefficients of at least some bands to be quantized to zero.

11. The one or more computer-readable media of claim 9 wherein the encoding the step-size values comprises:

differential coding of the step-size values; and

entropy coding of results of the differential coding.

12. The one or more computer-readable media of claim 11 wherein the entropy coding includes variable length coding.

13. The one or more computer-readable media of claim 9 wherein the step-size values are quantization step-size values organized as a quantization matrix.

15. The one or more computer-readable media of claim 9 wherein the processing further comprises, as part of the encoding the input audio signal:

quantizing the weighted transform coefficients, wherein the quantizing causes transform coefficients of at least some bands to be quantized to zero.

17. The one or more computer-readable media of claim 9 wherein the given band and the adjacent band are adjacent in terms of frequency range.