Method for displaying streaming speech recognition result, electronic device, and storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively coupled to the at least one processor,
• wherein the memory is configured to store instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is caused to execute a method for displaying a streaming speech recognition result, the method comprising:
• obtaining a plurality of continuous speech segments of an input audio stream, and simulating an end of a target speech segment in the plurality of continuous speech segments as a sentence ending, the sentence ending being configured to indicate an end of input of the audio stream;
• performing feature extraction on a current speech segment to be recognized based on a first feature extraction mode when the current speech segment is the target speech segment;
• performing feature extraction on the current speech segment based on a second feature extraction mode when the current speech segment is not the target speech segment;
• and
• obtaining a real-time recognition result by inputting a feature sequence extracted from the current speech segment into a streaming multi-layer truncated attention model, and displaying the real-time recognition result.

A non-transitory computer readable storage medium having computer instructions stored thereon, wherein the computer instructions are configured to cause a computer to execute a method for displaying a streaming speech recognition result, the method comprising:

• obtaining a plurality of continuous speech segments of an input audio stream, and simulating an end of a target speech segment in the plurality of continuous speech segments as a sentence ending, the sentence ending being configured to indicate an end of input of the audio stream;
• performing feature extraction on a current speech segment to be recognized based on a first feature extraction mode when the current speech segment is the target speech segment;
• performing feature extraction on the current speech segment based on a second feature extraction mode when the current speech segment is not the target speech segment;
• and
• obtaining a real-time recognition result by inputting a feature sequence extracted from the current speech segment into a streaming multi-layer truncated attention model, and displaying the real-time recognition result.