Language recognition method, apparatus and device and computer storage medium

A device, comprising

• one or more processor;
• a memory;
• one or more programs stored in the memory and configured to execute the following operations when executed by the one or more processors:
• after receiving the Nth speech segment included by a speech signal, performing language recognition according to previous N speech segments that have already been received, to obtain a score of each language in at least one language, N being 2, 3, 4, . . . ;
• and
• if there exists a language whose score reaches a designated threshold, considering the language whose score reaches the designated threshold as a language matched with the speech signal,
• wherein the performing language recognition according to previous N speech segments that have already been received, to obtain the score of each language in at least one language comprises:
• extracting a speech feature from the Nth speech segment;
• obtaining a statistics of the Nth speech segment according to the speech feature;
• obtaining a second accumulated statistics according to the statistics of the Nth speech segment and a first accumulated statistics of the previous N−1 speech segments;
• and
• using a language recognition model to perform language recognition for the second accumulated statistics to obtain the score of each language in at least one language.

A computer storage medium which is encoded with a computer program, the program, when executed by one or more computers, enabling said one or more computers to execute the following operations:

• after receiving the Nth speech segment included by a speech signal, performing language recognition according to previous N speech segments that have already been received, to obtain a score of each language in at least one language, N being 2, 3, 4, . . . ;
• and
• if there exists a language whose score reaches a designated threshold, considering the language whose score reaches the designated threshold as a language matched with the speech signal,
• wherein the performing language recognition according to previous N speech segments that have already been received, to obtain the score of each language in at least one language comprises:
• extracting a speech feature from the Nth speech segment;
• obtaining a statistics of the Nth speech segment according to the speech feature;
• obtaining a second accumulated statistics according to the statistics of the Nth speech segment and a first accumulated statistics of the previous N−1 speech segments;
• and
• using a language recognition model to perform language recognition for the second accumulated statistics to obtain the score of each language in at least one language.