Noise canceller

• US 7,587,316 B2
• Filed: 05/11/2005
• Issued: 09/08/2009
• Est. Priority Date: 11/07/1996
• Status: Expired due to Fees

• Current Assignee: Godo Kaisha IP Bridge 1 (IP Bridge, Inc.)
• Original Assignee: Panasonic Corporation (Panasonic Holdings Corporation)
• Inventors: Morii, Toshiyuki
• Primary Examiner(s): Opsasnick; Michael N
• Application Number:
  US11/126,171
• Publication Number:
  US 20050203736A1
• Time in Patent Office: 1,581 Days
• Field of Search: 704221-224, 704226-228
• US Class Current: 704/226
• CPC Class Codes: G10L 19/12 the excitation function being a code excitation, e.g. in code excited linear prediction [CELP] vocoders
• CPC Class Codes: G10L 19/135 Vector sum excited linear prediction [VSELP]
• CPC Class Codes: G10L 2019/0007 Codebook element generation
• CPC Class Codes: G10L 2019/0013 Codebook search algorithms

Abstract

A noise canceller removes a noise component from an input speech signal. The noise canceller includes a noise cancellation coefficient adjuster that adjusts a noise cancellation coefficient to determine an amount of noise cancellation. A noise spectrum storage device stores an estimated noise spectrum. A noise estimator estimates a noise spectrum by comparing an input spectrum with a noise spectrum stored in the noise spectrum storage device. A noise canceling/spectrum compensator subtracts the noise spectrum stored in the noise spectrum storage device from the input spectrum based on a coefficient acquired by the noise cancellation coefficient adjuster.

Claims

1. A noise canceller for removing a noise component from an input speech signal, the noise canceller comprising:

an A/D converter that converts an input speech signal to a digital signal;

a noise cancellation coefficient adjuster that adjusts a noise cancellation coefficient to determine an amount of noise cancellation;

a Fourier transformer that performs a discrete Fourier transform on the digital signal having a predetermined time length obtained by the A/D converter to obtain an input spectrum and a complex spectrum;

a noise spectrum storage device that stores two types of noise spectra, including a mean noise spectrum for use in noise cancellation processing and a compensation noise spectrum for compensating for a spectrum of an over-reduced frequency in the noise cancellation processing;

a noise estimator that estimates two types of spectra, the two types of spectra comprising a new compensation noise spectrum and a new mean noise spectrum, the new compensation noise spectrum being obtained by comparing the input spectrum, obtained by the Fourier transformer, with the compensation noise spectrum stored in the noise spectrum storage device, the new mean noise spectrum being obtained by using the input spectrum, obtained by the Fourier transformer, in a learning algorithm, and that stores the two types of new spectra in the noise spectrum storage device; and

a noise canceling/spectrum compensator that subtracts the mean noise spectrum stored in the noise spectrum storage device from the input spectrum, obtained by the Fourier transformer, based on a coefficient obtained by the noise cancellation coefficient adjuster and that checks an obtained spectrum to compensate for the spectrum of the over-reduced frequency with the compensation noise spectrum.