Speech signal encoding method and speech signal decoding method

• US 9,177,562 B2
• Filed: 11/23/2011
• Issued: 11/03/2015
• Est. Priority Date: 11/24/2010
• Status: Active Grant

• Current Assignee: LG Electronics, Inc. (LG Corporation)
• Original Assignee: LG Electronics, Inc. (LG Corporation)
• Inventors: Jeong, Gyu Hyeok, Lim, Jong Ha, Jeon, Hye Jeong, Kang, In Gyu, Kim, Lag Young
• Primary Examiner(s): Hudspeth, David
• Assistant Examiner(s): OGUNBIYI, OLUWADAMILOL M
• Application Number:
  US13/989,196
• Publication Number:
  US 20130246054A1
• Time in Patent Office: 1,441 Days
• Field of Search: 704/203
• US Class Current: 1/1
• CPC Class Codes: G10L 19/00 Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis in musical instruments G10H
• CPC Class Codes: G10L 19/0212 using orthogonal transformation
• CPC Class Codes: G10L 19/022 Blocking, i.e. grouping of samples in time; Choice of analysis windows; Overlap factoring

Abstract

A speech signal encoding method and a speech signal decoding method are provided. The speech signal encoding method includes the steps of specifying an analysis frame in an input signal; generating a modified input based on the analysis frame; applying a window to the modified input; generating a transform coefficient by performing an MDCT (Modified Discrete Cosine Transform) on the modified input to which the window has been applied; and encoding the transform coefficient. The modified input includes the analysis frame and a self replication of all or a part of the analysis frame.

Claims

1. A speech signal encoding method by an apparatus, the method comprising:

specifying, by the encoding apparatus, an analysis frame in an input speech signal;

generating, by the encoding apparatus, a first modified input speech, based on the analysis frame by adding replication of all or a part of the analysis frame to the analysis frame;

applying, by the encoding apparatus, a window on the first modified input to generate a second modified input and a third modified input, each of which has a same length as the window, wherein the window is of equal length or shorter than the first modified input, and the second half of the first modified input overlaps with the first half of the second modified input, and wherein the window has a symmetrical shape that includes four sub-frames with weights w1, w2, w3 and w4, the weights satisfying the condition w1w1+w3w3=w2w2+w4w4=1;

generating, by the encoding apparatus, transform coefficients by performing a Modified Discrete Cosine Transform (MDCT) on the second and third modified inputs; and

encoding the transform coefficients by the encoding apparatus.

2. The speech signal encoding method according to claim 1, wherein a current frame has a length of N and the window has a length of 2N,

wherein the step of applying the window includes generating the second modified input by applying the window to the front end of the first modified input and generating the third modified input by applying the window to the rear end of the first modified input.

3. The speech signal encoding method according to claim 2, wherein the analysis frame includes a current frame and a previous frame of the current frame, and

wherein the first modified input is generated by adding a replication of the second half of the current frame to the analysis frame.

4. The speech signal encoding method according to claim 2, wherein the analysis frame includes a current frame,

wherein the first modified input is generated by adding M replications of the first half of the current frame to the front end of the analysis frame and adding M replications of the second half of the current frame to the rear end of the analysis frame, and

wherein first modified input has a length of 3N.

5. The speech signal encoding method according to claim 1, wherein the window has the same length as a current frame,

wherein the analysis frame includes the current frame,

wherein the first modified input is generated by adding a replication of the first half of the current frame to the front end of the analysis frame and adding a replication of the second half of the current frame to the rear end of the analysis frame,

wherein the step of applying the window further comprises generating a fourth modified input, wherein the second, third, and fourth modified inputs are generated by applying the window to the first modified input while sequentially shifting the window by a half frame from the front end of the first modified input,

wherein the step of generating the transform coefficients includes generating first, second and third transform coefficients by performing an MDCT on each of the second, third, and fourth modified inputs, and

wherein the step of encoding the transform coefficients includes encoding the first, second, and third transform coefficients.

6. The speech signal encoding method according to claim 1, wherein a current frame has a length of N, the window has a length of N/2, and the first modified input has a length of 3N/2,

wherein the step of applying the window further comprises generating fourth, fifth and sixth modified inputs, wherein the second, third, fourth, fifth, and sixth modified inputs are generated by applying the window to the first modified input while sequentially shifting the window by a quarter frame from the front end of the first modified input,

wherein the step of generating the transform coefficients includes generating first, second, third, fourth, and fifth transform coefficients by performing an MDCT on the second, third, fourth, fifth, and sixth modified inputs, respectively, and

wherein the step of encoding the transform coefficients includes encoding the first, second, third, fourth, and fifth transform coefficients.

7. The speech signal encoding method according to claim 6, wherein the analysis frame includes the current frame, and

wherein the first modified input is generated by adding a replication of the front half of the first half of the current frame to the front end of the analysis frame and adding a replication of the rear half of the second half of the current frame to the rear end of the analysis frame.

8. The speech signal encoding method according to claim 6, wherein the analysis frame includes the current frame and a previous frame of the current frame, and

wherein the first modified input is generated by adding a replication of the second half of the current frame to the analysis frame.

9. The speech signal encoding method according to claim 1, wherein a current frame has a length of N, the window has a length of 2N, and the analysis frame includes the current frame, and

wherein the first modified input is generated by adding a replication of the current frame to the analysis frame.

10. The speech signal encoding method according to claim 1, wherein a current frame has a length of N and the window has a length of N+M,

wherein the analysis frame is generated by applying a symmetric first window having a slope part with a length of M to the first half with a length of M of the current frame and a subsequent frame of the current frame,

wherein the first modified input is generated by self-replicating the analysis frame,

wherein the step of applying the window includes generating the second modified input by applying the second window to the front end of the first modified input and generating the third modified input by applying the second window to the rear end of the first modified input,

wherein the step of generating the transform coefficients includes generating a first transform coefficient by performing an MDCT on the second modified input and generating a second transform coefficient by performing an MDCT on the third modified input, and

wherein the step of encoding the transform coefficients includes encoding the first and second modified coefficients.

11. A speech signal decoding method by a decoding apparatus, the method comprising:

generating by the decoding apparatus, transform coefficient sequences by decoding an input speech signal, wherein the transform coefficient sequences comprise a first transform coefficient sequence and a second transform coefficient sequence;

generating, by the decoding apparatus, temporal coefficient sequences by performing an Inverse Modified Discrete Cosine Transform (IMDCT) on the transform coefficients, wherein the temporal coefficient sequence includes a first temporal coefficient sequence generated from the first transform coefficient sequence by the IMDCT, and a second temporal coefficient sequence from the second transform coefficient sequence generated by the IMDCT;

applying, by the decoding apparatus, a window on the first and second temporal coefficient sequences to generate a first modified sequence and a second modified sequence, respectively, wherein the second half of the first modified sequence overlaps with the first half of the second modified sequence, and wherein the window has a symmetrical shape that includes four sub-frame with weights w1, w2, w3 and w4, the weights satisfying the condition w1w1+w3w3=w2w2+w4w4=1; and

outputting, by the decoding apparatus, a sample reconstructed by adding the overlapped portions of the first and second modified sequences,

wherein the transform coefficient sequences are generated by applying the window to an input frame that is modified by adding replication of all or a part of the input frame to the input frame and by performing Modified Discrete Cosine Transform (MDCT).

12. The speech signal decoding method according to claim 11, wherein

the step of outputting the sample includes overlap-adding the first temporal coefficient sequence and the second temporal coefficient sequence having the window applied thereto with a gap of one frame.

13. The speech signal decoding method according to claim 11, wherein the step of generating the transform coefficient sequences further comprises generating a third transform coefficient sequence of a current frame,

wherein the step of generating the temporal coefficient sequence further comprises generating a third temporal coefficient sequence by performing an IMDCT on the third transform coefficient sequence,

wherein the step of applying the window includes applying the window to the first, second, and third temporal coefficient sequences, and

wherein the step of outputting the sample includes adding overlapped parts of the first and second temporal coefficient sequences, and the second and third temporal coefficient sequences with a gap of a half frame from a previous or subsequent frame.

14. The speech signal decoding method according to claim 11, wherein the step of generating the transform coefficient sequence further comprises generating third, fourth, and fifth transform coefficient sequences of a current frame,

wherein the step of generating the temporal coefficient sequence further comprises generating third, fourth, and temporal coefficient sequences by performing an IMDCT on the third, fourth, and fifth transform coefficient sequences, respectively,

wherein the step of applying the window includes applying the window to the first, second, third, fourth, and fifth temporal coefficient sequences, and

wherein the step of outputting the sample includes adding overlapped parts between the first, second, third, fourth, and fifth temporal coefficient sequences with a gap of a quarter frame from a previous or subsequent frame.

15. The speech signal decoding method according to claim 11, wherein the input frame includes a current frame,

wherein the modified input frame is generated by adding a replication of the input frame to the input frame, and

wherein the step of outputting the sample includes overlap-adding the first half of the temporal coefficient sequence and the second half of the temporal coefficient sequence.

16. The speech signal decoding method according to claim 11, wherein a current frame has a length of N and the window is a first window having a length of N+M,

wherein the input frame is generated by applying a symmetric second window having a slope part with a length of M to the first half with a length of M of the current frame and a subsequent frame of the current frame,

wherein the modified input is generated by self-adding replication of the input frame to the input frame, and

wherein the step of outputting the sample includes overlap-adding the first half of the temporal coefficient sequence and the second half of the temporal coefficient sequence and then overlap-adding the overlap-added first and second halves of the temporal coefficient to the reconstructed sample of a previous frame of the current frame.