Nokia Mobile Phones Limited

Nokia Corporation

Nokia Technologies Oy

Erkki Paajanen

Ville-Veikko Mattila

Antti Vahatalo

Antti V&auml;h&auml;talo

Jarmo Ilkka Saari

Janne J Kallio

Markus Vaalgamaa

Andrew P Bright

Ossi Mäenpää

Tommi Antero Raussi

Antti Vähätalo

Kimmo Kaukoranta

Tommi Raussi

Janne Kallio

Radio terminal equipment of a communication system, the communication system comprising one or more secondary units coupled to the radio terminal equipment, the radio terminal equipment comprising: means for receiving information on audio characteristics optimising an audio signal of the secondary unit, means for converting the audio characteristics information into a form of an audio control algorithm used in the radio terminal equipment for performing a secondary unit audio control algorithm, means for optimising an audio signal of the secondary unit by using the secondary unit audio control algorithm.

Controlling method, secondary unit and radio terminal equipment

A method of noise suppression to suppress noise in a signal containing background noise () in a communications path between a cellular communications network and a mobile terminal. The method comprises the steps of:

Noise suppression

A method which comprises forming a first noise reduction frame ( ) containing speech samples; which is windowed by a first window function. For the windowed frame, noise reduction is performed for producing a second noise reduction frame ( ). A speech coding frame ( ) to be formed comprises noise-reduced samples of at least two successive second noise reduction frames ( ), partly summed with one another. On the basis of said speech coding frame ( ), a set of speech coding parameters p are determined. A lookahead part ( ) of the speech coding frame is at least partly formed of a first slope ( ), the first slope ( ) comprising a set of most recent noise-reduced samples of the second noise reduction frame, not summed with the samples of any other second noise reduction frame. The method reduces the delay caused by speech coding and noise reduction.

Method and apparatus for determining speech coding parameters

The invention concerns a voice activity detection device in which an input speech signal (x(n)) is divided in subsignals (S(s)) representing specific frequency bands and noise (N(s)) is estimated in the subsignals. On basis of the estimated noise in the subsignals, subdecision signals (SNR(s)) are generated and a voice activity decision (V.sub.ind) for the input speech signal is formed on basis of the subdecision signals. Spectrum components of the input speech signal and a noise estimate are calculated and compared. More specifically a signal-to-noise ratio is calculated for each subsignal and each signal-to-noise ratio represents a subdecision signal (SNR(s)). From the signal-to-noise ratios a value proportional to their sum is calculated and compared with a threshold value and a voice activity decision signal (V.sub.ind) for the input speech signal is formed on basis of the comparison.

Method and device for voice activity detection and a communication device

The invention relates to a method of noise suppression, a mobile station and a noise suppressor for suppressing noise in a speech signal. The suppressor comprises means (20, 50) for dividing the speech signal into a first amount of subsignals (X, P), which subsignals represent certain first frequency ranges, and suppression means (30) for suppressing noise in a subsignal (X, P) based upon a determined suppression coefficient (G). The noise suppressor further comprises recombination means (60) for recombining a second amount of subsignals (X, P) into a calculation signal (S), which represents a certain second frequency range, which is wider than the first frequency ranges and determination means (200) for determining a suppression coefficient (G) for the calculation signal (S) based upon the noise contained by it. The suppression means (30) are arranged to suppress the subsignals (X, P) recombined into the calculation signal (S) by said suppression coefficient (G), determined based upon the calculation signal (S).

Noise suppressor and method for suppressing background noise in noisy

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Tampere, Finland

Erkki Paajanen