Speech recognition

An electronic device, comprising:

• a processor;
• and
• a memory storing a computer program executable by the processor to perform operations comprising:
• performing speech activity detection on speech data to obtain a plurality of speech segments;
• determining, for each of the plurality of speech segments, a number of speakers involved in the each of the plurality of speech segments;
• for each of at least one of the plurality of speech segments with the determined number of speakers greater than 1:
• performing speech separation on the each of at least one of the plurality of speech segments to obtain a plurality of audio segments;
• performing speech recognition on each of the plurality of audio segments to obtain respective first speech recognition results for the plurality of audio segments;
• performing feature extraction on each of the plurality of audio segments to obtain respective voiceprint feature vectors of the plurality of audio segments;
• and
• performing clustering on the plurality of audio segments with respect to the speakers based on the respective voiceprint feature vectors to obtain a clustering result indicating that each of the speakers corresponds to which of the plurality of audio segments;
• and
• obtaining a second speech recognition result for the speech data based on the clustering result and the respective first speech recognition results for the each of at least one of the plurality of speech segments.

A non-transitory computer-readable storage medium storing a computer program executable by a processor to perform operations comprising:

• performing speech activity detection on speech data to obtain a plurality of speech segments;
• determining, for each of the plurality of speech segments, a number of speakers involved in the each of the plurality of speech segments;
• for each of at least one of the plurality of speech segments with the determined number of speakers greater than 1:
• performing speech separation on the each of at least one of the plurality of speech segments to obtain a plurality of audio segments;
• performing speech recognition on each of the plurality of audio segments to obtain respective first speech recognition results for the plurality of audio segments;
• performing feature extraction on each of the plurality of audio segments to obtain respective voiceprint feature vectors of the plurality of audio segments;
• and
• performing clustering on the plurality of audio segments with respect to the speakers based on the respective voiceprint feature vectors to obtain a clustering result indicating that each of the speakers corresponds to which of the plurality of audio segments;
• and
• obtaining a second speech recognition result for the speech data based on the clustering result and the respective first speech recognition results for the each of at least one of the plurality of speech segments.