Abstract: An audio packet loss concealment method, an audio packet loss concealment device and a Bluetooth receiver are described. The audio packet loss concealment method comprises: determining whether each data packet divided into a plurality of frequency bins in a frequency domain is correct after audio data is transformed from a time domain to the frequency domain; classifying the frequency bins in the incorrect data packet into a first set of frequency bins and a second set of frequency bins; and recovering data in the first set of frequency bins by a GAPES algorithm, and recovering data in the second set of frequency bins by a predefined algorithm, wherein the predefined algorithm involves far less computation when compared with the GAPES algorithm.

Abstract: An audio data recovery method, an audio data recovery device and a Bluetooth device are described. The audio data recovery method comprises: dividing audio data into a first frequency domain component and a second frequency domain component in a frequency domain; using a second data recovery algorithm to recover the audio data in the second frequency domain component; and using a first data recovery algorithm with lower complexity than the second data recovery algorithm to recover the audio data in the first frequency domain component.

Abstract: An audio data recovery method, an audio data recovery device and a Bluetooth device are described in the present invention. The audio data recovery method comprises: receiving audio data in time domain, the audio data including a first type of data and a second type of data; transforming the audio data from the time domain into frequency domain to produce transformed first type of data and transformed second type of data; performing packet loss concealment estimation on the transformed second type of data to generate estimated second type of data in the frequency domain; transforming inversely the transformed first type of data together with the estimated second type of data from the frequency domain to the time domain; and obtaining recovered audio data in the time domain according to the first type of data in the audio data in the time domain and the estimated second type of data in the time domain.

Abstract: An audio packet loss concealment method, an audio packet loss concealment device and a Bluetooth receiver are described. The audio packet loss concealment method comprises: determining whether each data packet divided into a plurality of frequency bins in a frequency domain is correct after audio data is transformed from a time domain to the frequency domain; classifying the frequency bins in the incorrect data packet into a first set of frequency bins and a second set of frequency bins; and recovering data in the first set of frequency bins by a GAPES algorithm, and recovering data in the second set of frequency bins by a predefined algorithm, wherein the predefined algorithm involves far less computation when compared with the GAPES algorithm.

Abstract: An audio data recovery method, an audio data recovery device and a Bluetooth device are provided in the present invention. The audio data recovery method comprises: receiving a plurality of audio data packets each comprising M segments of frame data and M CRC codes each corresponding to one of the M segments of frame data; and recovering one audio data packet according to the segments of frame data and the CRC codes in N audio data packets received incorrectly N times for the same audio data.

Abstract: Techniques for controlling a personalized Bluetooth device (e.g., headset) and a voice interaction control method thereof are described. According to one aspect of the present invention, the Bluetooth device is caused to maintain a voice contact list. Each item in the voice contact list corresponds to a phone number associated with a set of audio data (e.g., a voice or a predefined audio). Instead of dialing a phone number on a calling device (e.g., a cellular phone) being paired with the Bluetooth device, a user can speak to the Bluetooth device that is caused to search a corresponding phone number in the voice contact list. The number is then sent to the calling device to make a call.

Abstract: Techniques for controlling a personalized Bluetooth device (e.g., headset) and a voice interaction control method thereof are described. According to one aspect of the present invention, the Bluetooth device is caused to maintain a voice contact list. Each item in the voice contact list corresponds to a phone number associated with a set of audio data (e.g., a voice or a predefined audio). Instead of dialing a phone number on a calling device (e.g., a cellular phone) being paired with the Bluetooth device, a user can speak to the Bluetooth device that is caused to search a corresponding phone number in the voice contact list. The number is then sent to the calling device to make a call.

Abstract: Techniques for a personalized Bluetooth headset and a voice interaction control method thereof are described. According to one aspect of the present invention, the Bluetooth headset is caused to maintain a voice contact list. Each item in the voice contact list corresponds to a phone number associated with a set of audio data (e.g., a voice or a predefined audio). When a paired mobile device receives a call, the voice contact list is searched per the caller number. A corresponding audio is played back when an item is located in the voice contact list. As such a user of the Bluetooth headset knows who is calling and determines whether the call shall be answered or not.

Abstract: Techniques for a personalized Bluetooth headset and a voice interaction control method thereof are described. According to one aspect of the present invention, the Bluetooth headset is configured to create and maintain a voice-based table. Each item in the table includes a phone number paired with a set of audio data (e.g., a voice or a predefined audio), where the audio data is created by a user. When a paired mobile device receives a call, the table is searched per the caller number. A corresponding audio is played back first when an item is located in the table. As such a user of the Bluetooth headset knows who is calling and determines whether the call shall be answered or not.

Abstract: A method for noise reduction is provided including: beamforming audio signals sampled by a microphone array to get a signal with an enhanced target voice and a signal with a weakened target voice; locating a target voice in the audio signal sampled by the microphone array; determining a credibility of the target voice when the target voice is located; updating an adaptive filter coefficient according to the credibility, and filtering the signal with the enhanced target voice and the signal with the weakened target voice according to the updated adaptive filter coefficient to get a signal with reduced noise; and weighing a voice presence probability by the credibility, and enhancing the signal with reduced noise according to the weighed voice presence probability.

Abstract: Techniques for a personalized Bluetooth headset and a voice interaction control method thereof are described. According to one aspect of the present invention, the Bluetooth headset is configured to create and maintain a voice-based table. Each item in the table includes a phone number paired with a set of audio data (e.g., a voice or a predefined audio), where the audio data is created by a user. When a paired mobile device receives a call, the table is searched per the caller number. A corresponding audio is played back first when an item is located in the table. As such a user of the Bluetooth headset knows who is calling and determines whether the call shall be answered or not.

Abstract: Techniques for a personalized Bluetooth headset and a voice interaction control method thereof are described. According to one aspect of the present invention, the Bluetooth headset is caused to maintain a voice contact list. Each item in the voice contact list corresponds to a phone number associated with a set of audio data (e.g., a voice or a predefined audio). When a paired mobile device receives a call, the voice contact list is searched per the caller number. A corresponding audio is played back when an item is located in the voice contact list. As such a user of the Bluetooth headset knows who is calling and determines whether the call shall be answered or not.

Abstract: A method for noise reduction is provided including: beamforming audio signals sampled by a microphone array to get a signal with an enhanced target voice and a signal with a weakened target voice; locating a target voice in the audio signal sampled by the microphone array; determining a credibility of the target voice when the target voice is located; updating an adaptive filter coefficient according to the credibility, and filtering the signal with the enhanced target voice and the signal with the weakened target voice according to the updated adaptive filter coefficient to get a signal with reduced noise; and weighing a voice presence probability by the credibility, and enhancing the signal with reduced noise according to the weighed voice presence probability.

Abstract: Techniques pertaining to noise reduction are disclosed. According to one aspect of the present invention, noise in an audio signal is effectively reduced and a high quality of a target voice is recovered at the same time. In one embodiment, an array of microphones is used to sample the audio signal embedded with noise. The samples are processed according to a beamforming technique to get a signal with an enhanced target voice. A target voice is located in the audio signal sampled by the microphone array. A credibility of the target voice is determined when the target voice is located. The voice presence probability is weighted by the credibility. The signal with the enhanced target voice is enhanced according to the weighed voice presence probability.

Abstract: Techniques pertaining to providing an appropriate recording mode to achieve optimum record data in accordance with the recording environment are described. In one embodiment, a current audio recording mode is initially selected to be one of a low sensitivity audio recording mode and a high sensitivity audio recording mode. A digital gain for digital audio recording data in the current audio recording mode is obtained. The current audio recording mode is automatically switched between the low sensitivity audio recording mode and the high sensitivity audio recording mode when the digital gain reaches a gain threshold.

Abstract: Techniques pertaining to noise reduction are disclosed. According to one aspect of the present invention, noise in an audio signal is effectively reduced and a high quality of a target voice is recovered at the same time. In one embodiment, an array of microphones is used to sample the audio signal embedded with noise. The samples are processed according to a beamforming technique to get a signal with an enhanced target voice. A target voice is located in the audio signal sampled by the microphone array. A credibility of the target voice is determined when the target voice is located. The voice presence probability is weighted by the credibility. The signal with the enhanced target voice is enhanced according to the weighed voice presence probability.

Abstract: Techniques pertaining to providing an appropriate recording mode to achieve optimum record data in accordance with the recording environment are described. In one embodiment, a current audio recording mode is determined is initially selected to be one of a low sensitivity audio recording mode and a high sensitivity audio recording mode. A digital gain for digital audio recoding data in the current audio recoding mode is obtained. The current audio recording mode is automatically switched between the low sensitivity audio recording mode and the high sensitivity audio recording mode when the digital gain reaches a gain threshold.

Abstract: Techniques for an adaptive filter method are disclosed. According to one aspect of the techniques. According to one aspect of the present invention, an adaptive filter technique is disclosed.

Abstract: Techniques to enhance voice signals in a dual microphone system are disclosed. According to one aspect of the present invention, there are at least two microphones that are positioned in a pre-configured array. Two audio signals x1(k) and x2(k) are received and coupled to an adjusting module that is provided to control the gain of each of the audio signals x1(k) and x2(k) to minimize signal differences between the two signals. A separation module is provided to receive matched audio signals x?1(k) and x?2(k) from the adjusting module. The separation module separates the audio signals x?1(k) and x?2(k) to obtain a first audio signal s(k) containing mainly the voice and a second audio signal n(k) containing mainly the noise. An adaptive filtering module is provided to eliminate the noise component in the audio signal s(k) to obtain an estimated voice signal e_s(k) with a higher S/N ratio. Furthermore, the adaptive filtering module can be also configured to suppress echo in the audio signal s(k) at same time.