System and method of performing automatic speech recognition using end-pointing markers generated using accelerometer-based voice activity detector

A system for performing automatic speech recognition (ASR) using end-pointing markers generated using an accelerometer-based voice activity detector comprising:

• an electronic device including:
• at least one accelerometer that is included in at least one earbud, the at least one accelerometer to detect vibration of the user's vocal chords,
• at least one microphone to receive acoustic signals,
• a voice activity detector (VAD) generating an accelerometer VAD output (VADa) based on data output by the at least one accelerometer, and
• a voice processor generating a speech signal based on the acoustic signals from the at least one microphone;
• and
• a server including an ASR engine that is separate from the electronic device, the ASR engine including:
• an end-pointer generating the end-pointing markers based on the VADa output, and
• an ASR module performing ASR on the speech signal based on the end-pointing markers.

A system for performing automatic speech recognition (ASR) using end-pointing markers generated using accelerometer-based voice activity detector comprising:

• a server including an ASR engine that is separate from an electronic device, the ASR engine including:
• a voice activity detector (VAD) generating an accelerometer VAD output (VADa) based on data output by at least one accelerometer, wherein the data output by the at least one accelerometer is received from the electronic device,
• an end-pointer generating the end-pointing markers based on the VADa output, and
• an ASR module performing ASR on the speech signal based on the end-pointing markers.

A system for performing automatic speech recognition (ASR) using end-pointing markers generated using accelerometer-based voice activity detector comprising:

• an electronic device including:
• at least one accelerometer that is included in at least one earbud, the at least one accelerometer to detect vibration of the user's vocal chords,
• at least one microphone to receive acoustic signals,
• a voice activity detector (VAD) generating an accelerometer VAD output (VADa) based on data output by the at least one accelerometer,
• a voice processor generating a speech signal based on the acoustic signals from the at least one microphone, and
• an end-pointer generating the end-pointing markers based on the VADa output, and
• a selector selecting a portion of the speech signal based on the end-point markers and transmitting the portion of the speech signal.