Nokia Technologies Oy

Nokia Corporation

Nokia Mobile Phones Limited

Jukka Vartiainen

Riitta Niemisto

Ville Mikael Myllyla

Jari Petteri Sjoberg

Anu Huttunen

Ari Juhani Koski

Jorma Makinen

Antti Heikki Tapio Sassi

Mari Partio

Tero Takala

Gerald Enzner

Robert Bregovic

Bogdan Dumitrescu

Sarmad Malik

An apparatus including at least one processor and at least one memory including computer program code configured to: when the apparatus is in a voice phone call mode of sound capture, output a signal from a first microphone as a primary speech signal, and select one or more second microphones to output a noise reduction signal, where the apparatus comprises at least two of the second microphones, and where selection of the one or more second microphones is based at least partially upon a determined use of the apparatus being either a handportable or an integrated handsfree use; and/or when the apparatus is in a multi-media mode of sound capture select one or more of the microphones to output audio signals based upon both a determined type of sound capture feature being used by the apparatus and based upon a determined orientation of the apparatus.

Audio capture with multiple microphones

An apparatus comprising at least one processor and at least one memory including computer program code the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: filtering an audio signal into at least three frequency band signals; generating for each frequency band signal a plurality of sub-band signals; processing at least one sub-band signal from at least one frequency band; and combining the processed sub-band signals to form a combined processed audio signal.

Audio signal processing apparatus

Both a cascade and a multichannel joint Bayesian estimator are provided for suppressing acoustic echo. An expansion basis (Power/Fourier series) is selected to convert a sample-based input signal xinto a DFT-domain multichannel signal [X, . . . X]. The posterior of unknown states (e.g., mean &#x174;and covariance Pof the echo path Wand the mean &#xe2;and covariance Qof the nonlinear coefficients a; or channel-wise mean &#x174;and multichannel covarianceof a compound quantity formed by merging together the echo path Wand the inonlinear coefficient a) and model parameters &#x3b8;are estimated; and Kalman gain factor(s) Kare computed for optimal adaptation of the posterior of unknown states. An echo signal &#x176;is estimated using the multichannel input signal [X, . . . X] and the adapted posterior; and an error signal Eis generated. Residual echo is suppressed by post-filtering the error signal Ewith a weighting function &#x3c8;which depends on the adapted posterior, and the filtered error signal &#x15d;'is then transmitted to a far-end.

Recursive Bayesian controllers for non-linear acoustic echo cancellation and suppression systems

Disclosed herein is an apparatus. The apparatus includes a first audio input device, a second audio input device, an analog to digital converter, a voice activity detector, and a position detector. The first audio input device is configured to receive a first audio signal. The second audio input device is configured to receive a second audio signal. The analog to digital converter is connected to the first and the second audio input devices. The voice activity detector is connected to the analog to digital converter. The voice activity detector is configured to receive input from the first and the second audio input devices. The position detector is connected to the voice activity detector. The position detector is configured to determine a position of the apparatus and classify the audio signals based on, at least partially, a ratio of the first audio signal and the second audio signal.

Electronic device speech enhancement

The invention relates to a method and an arrangement for attenuating noise by antinoise. According to the invention the object is to attenuate the noise by weighting such frequencies, at which the noise is most disturbing. At other frequencies the noise is attenuated less or not at all. This saves power in the equipment and a stronger subjective attenuation is obtained that without frequency weighting. The system can be applied in a mobile station so that the speech heard from the mobile station can be distinguished from the environmental noise.

Method and an arrangement for attenuating noise in a space by generating antinoise

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Tampere, Finland

Jukka Vartiainen