Abstract: Provided is a method for transferring multimedia content from the first device to a second device. The method includes scanning a memory associated with the second device to identify transcoding parameters associated and stored therein. The method also includes transcoding the multimedia content from the first device based upon the identified transcoding parameters.

Abstract: Provided is a method for transferring multimedia content from the first device to a second device. The method includes scanning a memory associated with the second device to identify transcoding parameters associated and stored therein. The method also includes transcoding the multimedia content from the first device based upon the identified transcoding parameters.

Abstract: There is provided an apparatus, an integrated circuit, a digital camera, and a method for automatically recording pictures on a digital camera. The digital camera, for example, configured to receive a user-defined prerequisite for recording a picture; capture a plurality of pictures; determine whether at least one picture of the plurality of captured pictures meets the user-defined prerequisite; and store the at least one picture which meets the user-defined prerequisite if at least one picture of the plurality of captured pictures meets the user-defined prerequisite.

Abstract: In methods and apparatus for echo cancellation, a noise estimate is selectively added to a downlink communications signals to improve the convergence speed and stability of an echo-canceling adaptive filter. The added signal content enables the echo-canceling adaptive filter to more quickly track echo path changes during user communications and prevents divergence of the adaptive filter during periods in which the downlink signal does not contain information (e.g., speech) sufficient to develop a quality echo path estimate. To prevent performance degradation from a user perspective, the added noise is made to resemble existing system noise (e.g., either near-end or far-end background noise). In exemplary embodiments, filter convergence speed and stability are further improved by whitening the spectrum and increasing the power level of the added noise whenever a near-end user is active and masking the added noise.

Abstract: An electronic device, e.g. a mobile telephone, includes speech recognition means for controlling the operation of the device in response to a voice command. The device includes a proximity sensor e.g. a capacitive, inductive, or IR-red proximity sensor, for providing a control signal indicative of whether an object is in proximity of the device, and control means for controlling the voice controlled operation of the device in response to the control signal.

Abstract: An enhanced near-end voice signal may be generated in a hands-free environment by receiving an audio signal, generating an estimated acoustic echo signal, and generating a processed signal by removing the estimated acoustic echo signal from the audio signal. A near-end enhanced spectrum is then determined, that has one or more ranges of contiguous frequencies over which the detector spectrum takes on its largest values, wherein the range of contiguous frequencies are those associated with a relatively high echo return loss in the processed signal. The processed signal is filtered in accordance with the near-end enhanced spectrum, thereby generating an enhanced near-end voice signal. The enhanced near-end voice signal may then be applied to any of a number of components that are intended to process near-end speech. For example, when applied to a voice activity detector, the amount of energy contained in the enhanced near-end voice signal is then measured.

Abstract: In a technique for canceling noise from a microphone communications path, an electrical equivalence circuit which is positioned close to and electrically matched to the microphone produces a signal free reference signal. The microphone converts speech to a voice signal. An analog multiplexer alternately switches from the microphone to the electrical equivalence circuit to produce a multiplexed analog signal composed of the voice signal from the microphone and the signal free reference signal from the electrical equivalence circuit. A wire connects the output of the analog multiplexer switch to an A/D converter. The wire picks up noise from the surrounding environment. The A/D converter converts the multiplexed signal having the noise to a plurality of voice samples taken from the voice signal portion of the multiplexed signal and a plurality of noise samples taken from the signal free reference signal portion of the multiplexed signal. A noise cancellation unit applies a noise suppression algorithm (e.g.

Abstract: In a technique for canceling noise from a microphone communications path, an electrical equivalence circuit which is positioned close to and electrically matched to the microphone produces a signal free reference signal. The microphone converts speech to a voice signal. An analog multiplexer alternately switches from the microphone to the electrical equivalence circuit to produce a multiplexed analog signal composed of the voice signal from the microphone and the signal free reference signal from the electrical equivalence circuit. A wire connects the output of the analog multiplexer switch to an A/D converter. The wire picks up noise from the surrounding environment. The A/D converter converts the multiplexed signal having the noise to a plurality of voice samples taken from the voice signal portion of the multiplexed signal and a plurality of noise samples taken from the signal free reference signal portion of the multiplexed signal. A noise cancellation unit applies a noise suppression algorithm (e.g.