Voice processing method, electronic device, and storage medium

An electronic device, comprising:

• a microphone configured to collect a voice signal;
• a processor;
• and
• a memory storing instructions that when executed by the processor, control the processor to perform voice activity detection (VAD) processing of the collected voice signal to obtain a first voice frame segment;
• detect whether a phoneme is a filler phoneme starting from the first phoneme of the first voice frame segment, wherein the filler phoneme indicates non-keywords;
• in response to determining that a probability of the phoneme being the filler phoneme is greater than a probability of the phoneme being not the filler phoneme, skip the filler phoneme and perform voice recognition on the first voice frame segment to obtain a first recognition result;
• in response to the first recognition result not matching a target content and a number of tokens in the first recognition result whose matching probability to the target content is greater than a second set threshold exceeding a preset number, determine that there is a VAD processing truncation in the first voice frame segment;
• in response to the VAD processing truncation in the first voice frame segment,
• estimate a target frame length compensated for the first voice frame segment according to a length of historical target content counted,
• determine a next voice frame segment in the collected voice signal adjacent to the first voice frame segment,
• obtain, in the collected voice signal, a third voice frame segment having the target frame length and including complete token units, from a start position of the next voice frame segment, and
• obtain a second voice frame segment by splicing the third voice frame segment behind the first voice frame segment;
• and
• perform voice recognition on the second voice frame segment to obtain a second recognition result, wherein a matching degree between the second recognition result and the target content is greater than a matching degree between the first recognition result and the target content.

A non-transitory computer-readable storage medium having instructions stored thereon, when the instructions are executed by a processor in an electronic device, a voice processing method is implemented, the method comprising:

• collecting a voice signal by a microphone of an electronic device, and performing voice activity detection (VAD) processing of the collected voice signal to obtain a first voice frame segment;
• detecting whether a phoneme is a filler phoneme starting from the first phoneme of the first voice frame segment, wherein the filler phoneme indicates non-keywords;
• in response to determining that a probability of the phoneme being the filler phoneme is greater than a probability of the phoneme being not the filler phoneme, skipping the filler phoneme and performing voice recognition on the first voice frame segment to obtain a first recognition result;
• in response to the first recognition result not matching a target content and a number of tokens in the first recognition result whose matching probability to the target content is greater than a second set threshold exceeding a preset number, determining that there is a VAD processing truncation in the first voice frame segment;
• in response to the VAD processing truncation in the first voice frame segment,
• estimating a target frame length compensated for the first voice frame segment according to a length of historical target content counted,
• determining a next voice frame segment in the collected voice signal adjacent to the first voice frame segment,
• obtaining, in the collected voice signal, a third voice frame segment having the target frame length and including complete token units, from a start position of the next voice frame segment, and
• obtaining a second voice frame segment by splicing the third voice frame segment behind the first voice frame segment;
• and
• performing voice recognition on the second voice frame segment to obtain a second recognition result, wherein a matching degree between the second recognition result and the target content is greater than a matching degree between the first recognition result and the target content.