Speech characteristic extraction method speech charateristic extraction device speech recognition method and speech recognition device

• US 20050004792A1
• Filed: 12/12/2002
• Published: 01/06/2005
• Est. Priority Date: 12/13/2001
• Status: Abandoned Application

• Current Assignee: Yoichi Ando
• Original Assignee: Yoichi Ando
• Inventors: Fujii, Kenji, Ando, Yoichi
• Application Number:
  US10/496,673
• Publication Number:
  US 20050004792A1
• Time in Patent Office: Days
• US Class Current: 704/217
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• CPC Class Codes: G10L 2015/027 Syllables being the recognition units

Abstract

Speech characteristics are obtained using a minimum of parameters, which correspond to auditory perception characteristics, without carrying out spectral analysis, by determining an ACF (autocorrelation function) of a speech signal collected by a microphone, and deriving from the ACF a value Φ (0) of when a delay time of the ACF is 0, a delay time τ₁ and an amplitude φ₁ of a first peak of the ACF, and an effective duration time τ_e of the ACF. Furthermore, it is possible to achieve highly accurate recognition that reflects human perception in actual sound fields by determining an interaural crosscorrelation function (IACF) of the speech signal, and extracting from the IACF a maximum value IACC of the IACF, a delay time τ_IACC of a peak of the IACF, and a width W_IACC of the maximum amplitude of the IACF, and including these IACF factors, that is, spatial information of the sound field.

Claims

1. A speech characteristic extraction method that extracts a speech characteristic required for speech recognition, wherein an autocorrelation function of a speech signal is determined, and a value Φ

(0) of when a delay time of the autocorrelation function is 0, a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, and an effective duration time τ

_e of the autocorrelation function are extracted from the autocorrelation function.

3. A speech characteristic extraction method according to claim 1, or a speech characteristic extraction device, wherein local peaks up to a first peak of the autocorrelation function are extracted.

4. A speech recognition method, wherein data extracted by the speech characteristic extraction method according to claim 1, namely a value Φ

(0) of when a delay time of the autocorrelation function is 0, a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, and an effective duration time τ

_e of the autocorrelation function, are compared to a template for speech recognition to achieve speech recognition.

6. A speech recognition method according to claim 4, or a speech recognition device, wherein local peaks up to a first peak of the autocorrelation function are extracted, and data including the local peaks are compared to a template to achieve speech recognition.

2. A speech characteristic extraction device that extracts a speech characteristic required for speech recognition, comprising:

a microphone;

a computing means for determining an autocorrelation function of a speech signal collected by the microphone; and

an extraction means for extracting from the autocorrelation function a value Φ

(0) of when a delay time of the autocorrelation function is 0, a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, and an effective duration time τ

_e of the autocorrelation function.

5. A speech recognition device, comprising:

the speech characteristic extraction device according to claim 2;

and

a recognition means for recognizing a speech, wherein data extracted by the speech extraction device, namely a value Φ

(0) of when a delay time of the autocorrelation function is 0, a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, and an effective duration time τ

_e of the autocorrelation function, are compared to a template for speech recognition to achieve speech recognition.

7. A speech characteristic extraction method that extracts a speech characteristic required for speech recognition, wherein:

an autocorrelation function and an interaural crosscorrelation function of a binaurally measured speech signal are respectively determined, and a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, an effective duration time τ

_e of the autocorrelation function, a maximum value IACC of the interaural crosscorrelation function, a delay time τ

_IACC of a peak of the interaural crosscorrelation function, a width W_IACC of a maximum amplitude of the interaural crosscorrelation function of the speech signal, and a value Φ

(0) of when a delay time of the autocorrelation function or the interaural crosscorrelation function is 0, are extracted from the autocorrelation function and the interaural crosscorrelation function.

9. A speech characteristic extraction method according to claim 7, or a speech characteristic extraction device, wherein local peaks up to a first peak of the autocorrelation function are extracted.

10. A speech recognition method wherein data extracted by the speech characteristic extraction method according to claim 7, namely a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, an effective duration time τ

_e of the autocorrelation function, a maximum value IACC of the interaural crosscorrelation function, a delay time τ

_IACC of a peak of the interaural crosscorrelation function, a width W_IACC of a maximum amplitude of the interaural crosscorrelation function of the speech signal, and a value Φ

(0) of when a delay time of the autocorrelation function or the interaural crosscorrelation function is 0, are compared to a template for speech recognition to achieve speech recognition.

12. A speech recognition method according to claim 10, or a speech recognition device, wherein local peaks up to a first peak of the autocorrelation function are extracted, and data including the local peaks are compared to a template to achieve speech recognition.

8. A speech characteristic extraction device that extracts a speech characteristic required for speech recognition, comprising:

a binaural microphone;

a computing means for respectively determining an autocorrelation function and an interaural crosscorrelation function of a speech signal collected by the microphone; and

an extraction means for extracting from the autocorrelation function and the interaural crosscorrelation function a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, an effective duration time τ

_e of the autocorrelation function, a maximum value IACC of the interaural crosscorrelation function, a delay time τ

_IACC of a peak of the interaural crosscorrelation function, a width W_IACC of a maximum amplitude of the interaural crosscorrelation function, and a value Φ

(0) of when a delay time of the autocorrelation function, or the interaural crosscorrelation function, is 0, are extracted.

11. A speech recognition device, comprising:

the speech characteristic extraction device according to claim 8;

and

a recognition means for recognizing a speech, wherein data extracted by the speech extraction device, namely a delay time τ

₁ and an amplitude φ

₁ of a first peak of the autocorrelation function, an effective duration time τ

_e of the autocorrelation function, a maximum value IACC of the interaural crosscorrelation function, a delay time τ

_IACC of a peak of the interaural crosscorrelation function, a width W_IACC of a maximum amplitude of the interaural crosscorrelation function, and a value Φ

(0) of when a delay time of the autocorrelation function or the interaural crosscorrelation function is 0, are compared to a template for speech recognition to achieve speech recognition.