Abstract:
A communication device establishes an audio connection with a far-end user via a communication network. The communication device receives text input from a near-end user, and converts the text input into speech signals. The speech signals are transmitted to the far-end user using the established audio connection while muting audio input to its microphone. Other embodiments are also described and claimed.
Abstract:
Method of improving voice quality using a wireless headset with untethered earbuds starts by receiving first acoustic signal from first microphone included in first untethered earbud and receiving second acoustic signal from second microphone included in second untethered earbud. First inertial sensor output is received from first inertial sensor included in first earbud and second inertial sensor output is received from second inertial sensor included in second earbud. First earbud processes first noise/wind level captured by first microphone, first acoustic signal and first inertial sensor output and second earbud processes second noise/wind level captured by second microphone, second acoustic signal, and second inertial sensor output. First and second noise/wind levels and first and second inertial sensor outputs are communicated between the earbuds. First earbud transmits first acoustic signal and first inertial sensor output when first noise and wind level is lower than second noise/wind level. Other embodiments are described.
Abstract:
Digital signal processing microphone occlusion detection is described that can be used with a noise suppression system that uses two types of noise estimators, including a more aggressive one based on two audio signals (such as for non-stationary noises) and a less aggressive one based on one audio signal (such as for stationary noises). Decisions are made on how to select or combine the outputs of the noise estimators into a usable noise estimate, based on an occlusion function. The occlusion detection may alternatively be used to trigger an alert to users of multi-microphone audio processing systems, such as smart phones, headsets, laptops and tablet computers. Other embodiments are also described and claimed.
Abstract:
A system and method for parallel speech recognition processing of multiple audio signals produced by multiple microphones in a handheld portable electronic device. In one embodiment, a primary processor transitions to a power-saving mode while an auxiliary processor remains active. The auxiliary processor then monitors the speech of a user of the device to detect a wake-up command by speech recognition processing the audio signals in parallel. When the auxiliary processor detects the command it then signals the primary processor to transition to active mode. The auxiliary processor may also identify to the primary processor which microphone resulted in the command being recognized with the highest confidence. Other embodiments are also described.
Abstract:
Digital signal processing microphone occlusion detection is described that can be used with a noise suppression system that uses two types of noise estimators, including a more aggressive one based on two audio signals (such as for non-stationary noises) and a less aggressive one based on one audio signal (such as for stationary noises). Decisions are made on how to select or combine the outputs of the noise estimators into a usable noise estimate, based on an occlusion function. The occlusion detection may alternatively be used to trigger an alert to users of multi-microphone audio processing systems, such as smart phones, headsets, laptops and tablet computers. Other embodiments are also described and claimed.