Environment adaptive speech recognition method and device

A speech recognition device, comprising:

• a processor, configured to:
• acquire a detection speech and a to-be-recognized following the detection speech by sampling an input speech, and input the detection speech and the to-be-recognized speech into a noise type detection engine and a speech engine at the same time;
• detect a storage area, and output, when a recognizable previous environment type exists in the storage area, a speech correction instruction according to a result of comparison between a detection environment type output by the noise type detection engine in response to receiving the detection speech and the to-be-recognized speech and the previous environment type;
• and
• output a final recognition result after a confidence value of an initial recognition result output by the engine is adjusted according to a current environment type output by the noise type detection engine, wherein a length of speech data comprised in the detection speech is less than a length of speech data comprised in the to-be-recognized speech, and the previous environment type is a quiet environment or a noise environment;
• the noise type detection engine interfaced to the processor, configured to:
• separately compare the detection speech and the to-be-recognized speech that are output by the processor with a plurality of speech training samples under a plurality of different sample environments;
• select a sample environment corresponding to a speech training sample that has a minimum difference with the detection speech, as a detection environment type;
• select a sample environment corresponding to a speech training sample that has a minimum difference with the to-be-recognized speech, as a current environment type;
• and
• store the current environment type to the storage area, and abandon the current environment type after preset duration;
• and
• the speech engine interfaced to the noise type detection engine and the processor, configured to receive the speech correction instruction from the processor and control correction on the received to-be-recognized speech according to the speech correction instruction output by the processor, and output an initial recognition result.

An electronic device, comprising a speech recognition device, a speech recording device connected to the speech recognition device, and a microphone connected to the recording device;

• wherein the speech recording device is configured to collect and record an input speech by using the microphone, and is configured to input the recorded input speech to the speech recognition device;
• wherein the speech recognition device is configured to:
• receive an input speech;
• divide the input into a detection speech at the beginning of the input speech and a to-be-recognized speech following the detection speech, wherein a length of speech data comprised in the detection speech is less than a length of speech data comprised in the to-be-recognized speech;
• select, after comparing the detection speech with a plurality of speech training samples under a plurality of different sample environments, a sample environment corresponding to a speech training sample among the plurality of speech training samples that has a minimum difference with the detection speech, as a detection environment type, wherein the sample environment comprises a quiet environment and a noise environment;
• detect a storage area in the speech recognition device;
• output, when a recognizable previous environment type exists in the storage area, a speech correction instruction according to a result of comparison between the detection environment type and the previous environment type, wherein the previous environment type is a quiet environment or a noise environment;
• control, according to the speech correction instruction, correction on the to-be-recognized speech, and output an initial recognition result;
• separately compare the received to-be-recognized speech with the plurality of speech training samples, and select sample environment corresponding to a speech training sample among the plurality of speech training samples that has a minimum difference with the to-be-recognized speech, as a current environment type;
• store the current environment type to the storage area, and abandon the current environment type after preset duration;
• and
• output a final recognition result after a confidence value of the initial recognition result is adjusted according to the current environment type.