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US 2002/0165681 A1Published application
Noise signal analyzer, noise signal synthesizer, noise signal analyzing method, and noise signal synthesizing method
AssigneePanasonic Mobile Communications Co., Ltd.
InventorsKoji Yoshida, Fumitada Itakura
Life of this patent
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Abstract
FFT section 102 transforms a windowed input noise signal into a frequency spectrum. Spectral model storing section 103 stores model information on spectral models. Spectral model series calculating section 104 calculates spectral model number series corresponding to amplitude spectral series of the input noise signal, using the model information stored in spectral model storing section 103. Duration model/transition probability calculating section 105 outputs model parameters using the spectral model number series calculated in spectral model series calculating section 104. It is thereby possible to synthesize a background noise with perceptual high quality.
Claims19
A noise signal analysis apparatus comprising:
- generating means for generating a plurality of stationary noise models represented by an amplitude spectral time series following a statistical distribution with a duration of the amplitude spectral time series following another statistical distribution;
- and
- processing means for processing a noise signal as a spectral series statistically transiting between the plurality of stationary noise models.
A noise signal analysis apparatus comprising:
- frequency transforming means for transforming a noise signal into a signal of frequency domain to calculate a spectrum of the noise signal;
- storing means for storing a plurality of pieces of model information concerning a spectrum of a stationary noise model;
- selecting means for selecting, among the plurality of pieces of model information, a piece of model information corresponding to the spectrum of the noise signal based on a predetermined condition;
- and
- information generating means for generating statistical parameters concerning a stationary noise model and transition probability information that is a probability of transiting between a plurality of stationery noise models using a timewise series of the selected model information.
2 more elements
A noise signal analysis apparatus comprising:
- frequency transforming means for transforming a noise signal into a signal of frequency domain to calculate a spectrum of the noise signal;
- spectral model parameter calculating/quantizing means for calculating and quantizing spectral model parameters that are statistical parameters concerning an amplitude spectral time series of a stationary noise model to output quantized indexes;
- and
- duration model/transition probability calculating/quantizing means for calculating and quantizing statistical parameters concerning a duration of the amplitude spectral time series of the stationary noise model and transition probability information that is a probability of transiting between a plurality of stationery noise models to output quantized indexes.
1 more element
A noise signal analysis method comprising:
- a frequency transforming step of transforming a noise signal into a signal of frequency domain to calculate a spectrum of the noise signal;
- a storing step of storing a plurality of pieces of model information concerning a spectrum of a stationary noise model;
- a selecting step of selecting, among the plurality of pieces of model information, a piece of model information corresponding to the spectrum of the noise signal based on a predetermined condition;
- and
- an information generating step of generating statistical parameters concerning a stationary noise model and transition probability information that is a probability of transiting between a plurality of stationery noise models using a timewise series of the selected model information.
2 more elements
A noise signal analysis method comprising:
- a frequency transforming step of transforming a noise signal into a signal of frequency domain to calculate a spectrum of the noise signal;
- a spectral model parameter calculating/quantizing step of calculating and quantizing spectral model parameters that are statistical parameters concerning an amplitude spectral time series of a stationary noise model to output quantized indexes;
- and
- a duration model/transition probability calculating/quantizing step of calculating and quantizing statistical parameters concerning a duration of the amplitude spectral time series of the stationary noise model and transition probability information that is a probability of transiting between a plurality of stationery noise models to output quantized indexes.
1 more element
A program for operating a computer to have functions of:
- frequency transforming means for transforming a noise signal into a signal of frequency domain to calculate a spectrum of the noise signal;
- storing means for storing a plurality of pieces of model information concerning a spectrum of a stationary noise model;
- selecting means for selecting, among the plurality of pieces of model information, a piece of model information corresponding to the spectrum of the noise signal based on a predetermined condition;
- and
- information generating means for generating statistical parameters concerning a stationary noise model and transition probability information that is a probability of transiting between a plurality of stationery noise models using a timewise series of the selected model information.
2 more elements
A program for operating a computer to have functions of:
- transition series generating means for generating information on a transition series of a stationary noise model, using the transition probability information that is a probability of transiting between a plurality of stationary noise models;
- duration calculating means for calculating a duration of the stationary noise model using statistical parameters concerning the stationary noise model;
- storing means for storing model information on a spectrum of the stationary noise model;
- random phase generating means for generating random phases;
- spectrum generating means for generating a spectral time series using the generated information on the transition series of the stationary noise model, the calculated duration, the stored model information on the spectrum of the stationary noise model, and the generated random phases;
- and
- inverse frequency transforming means for transforming a generated spectrum into a signal of time domain.
4 more elements
Dependencies are inferred from the claim text.