WO1996024128A1 - Spectral subtraction noise suppression method - Google Patents
Spectral subtraction noise suppression method Download PDFInfo
- Publication number
- WO1996024128A1 WO1996024128A1 PCT/SE1996/000024 SE9600024W WO9624128A1 WO 1996024128 A1 WO1996024128 A1 WO 1996024128A1 SE 9600024 W SE9600024 W SE 9600024W WO 9624128 A1 WO9624128 A1 WO 9624128A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- speech
- frame
- noise
- estimate
- spectral subtraction
- Prior art date
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Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
- G10L2021/02168—Noise filtering characterised by the method used for estimating noise the estimation exclusively taking place during speech pauses
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0264—Noise filtering characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
Definitions
- FIGURE 1 is a block diagram of a spectral subtraction noise suppression system suitable for performing the method of the present invention
- FIGURE 2 is a state diagram of a Voice Activity Detector (VAD) that may be used in the system of Fig. 1;
- VAD Voice Activity Detector
- FIGURE 3 is a diagram of two different Power Spectrum Density estimates of a speech frame
- FIGURE 5 is a time diagram of the signal in Fig. 3 after spectral noise subtraction in accordance with the prior art
- PSD estimator 24 is formed in PSD estimator 24, and the analytical expression of these estimates that is used. Examples of different expressions are given in Table 2 of the next section. The major part of the following description will concentrate on different methods of forming estimates from the input frame ⁇ x(k) ⁇ .
- Signal S/B is also forwarded to spectral subtraction block 16 In this way block 16 may apply different filters during speech and non-speech frames.
- speech frames ⁇ ( ⁇ ) is the above mentioned expression of On the other hand, during
- non-speech frames ⁇ ( ⁇ ) may be a constant H (0 ⁇ H ⁇ 1) that reduces the background sound level to the same level as the background sound level that remains in speech frames after noise suppression. In this way the perceived noise level will be the same during both speech and non-speech frames.
- ⁇ x ( ⁇ ) and ⁇ v ( ⁇ ) are zero-mean stochastic variables such that
- Equation (11) implies that asymptotical (N » 1) unbiased PSD estimators such as the Periodogram or the averaged Periodogram are used. However, using asymptotically biased PSD estimators, such as the Blackman-Turkey PSD estimator, a similar analysis holds true replacing (11) with
- the bias error only depends on the choice of ⁇ ( ⁇ ), while the error variance depends both on the choice of ⁇ ( ⁇ ) and the variance of the PSD estimators used
- the error variance depends both on the choice of ⁇ ( ⁇ ) and the variance of the PSD estimators used
- using a single frame Periodogram for the estimation of ⁇ x ( ⁇ ) one has ⁇ x ⁇ 1.
- the dominant term in ⁇ ⁇ x + ⁇ v , appearing in the above vriance equations, is ⁇ x and thus the main error source is the single frame PSD estimate based on the the noisy speech.
Abstract
Description
Claims
Priority Applications (9)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE69606978T DE69606978T2 (en) | 1995-01-30 | 1996-01-12 | PROCESS FOR NOISE REDUCTION BY SPECTRAL SUBTRACTION |
CA002210490A CA2210490C (en) | 1995-01-30 | 1996-01-12 | Spectral subtraction noise suppression method |
AU46369/96A AU696152B2 (en) | 1995-01-30 | 1996-01-12 | Spectral subtraction noise suppression method |
JP8523454A JPH10513273A (en) | 1995-01-30 | 1996-01-12 | Spectral subtraction noise suppression method |
BR9606860A BR9606860A (en) | 1995-01-30 | 1996-01-12 | Noise suppression process by spectral subtraction |
US08/875,412 US5943429A (en) | 1995-01-30 | 1996-01-12 | Spectral subtraction noise suppression method |
RU97116274A RU2145737C1 (en) | 1995-01-30 | 1996-01-12 | Method for noise reduction by means of spectral subtraction |
EP96902028A EP0807305B1 (en) | 1995-01-30 | 1996-01-12 | Spectral subtraction noise suppression method |
FI973142A FI973142A (en) | 1995-01-30 | 1997-07-29 | Spectrally subtractive noise suppression procedure |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SE9500321A SE505156C2 (en) | 1995-01-30 | 1995-01-30 | Procedure for noise suppression by spectral subtraction |
SE9500321-6 | 1995-01-30 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO1996024128A1 true WO1996024128A1 (en) | 1996-08-08 |
Family
ID=20397011
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/SE1996/000024 WO1996024128A1 (en) | 1995-01-30 | 1996-01-12 | Spectral subtraction noise suppression method |
Country Status (14)
Country | Link |
---|---|
US (1) | US5943429A (en) |
EP (1) | EP0807305B1 (en) |
JP (1) | JPH10513273A (en) |
KR (1) | KR100365300B1 (en) |
CN (1) | CN1110034C (en) |
AU (1) | AU696152B2 (en) |
BR (1) | BR9606860A (en) |
CA (1) | CA2210490C (en) |
DE (1) | DE69606978T2 (en) |
ES (1) | ES2145429T3 (en) |
FI (1) | FI973142A (en) |
RU (1) | RU2145737C1 (en) |
SE (1) | SE505156C2 (en) |
WO (1) | WO1996024128A1 (en) |
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AU4636996A (en) | 1996-08-21 |
BR9606860A (en) | 1997-11-25 |
CA2210490C (en) | 2005-03-29 |
CA2210490A1 (en) | 1996-08-08 |
DE69606978T2 (en) | 2000-07-20 |
RU2145737C1 (en) | 2000-02-20 |
AU696152B2 (en) | 1998-09-03 |
SE9500321L (en) | 1996-07-31 |
KR100365300B1 (en) | 2003-03-15 |
DE69606978D1 (en) | 2000-04-13 |
KR19980701735A (en) | 1998-06-25 |
EP0807305A1 (en) | 1997-11-19 |
FI973142A (en) | 1997-09-30 |
SE9500321D0 (en) | 1995-01-30 |
SE505156C2 (en) | 1997-07-07 |
US5943429A (en) | 1999-08-24 |
ES2145429T3 (en) | 2000-07-01 |
FI973142A0 (en) | 1997-07-29 |
CN1110034C (en) | 2003-05-28 |
JPH10513273A (en) | 1998-12-15 |
CN1169788A (en) | 1998-01-07 |
EP0807305B1 (en) | 2000-03-08 |
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