Beijing Century Tal Education Technology Co., Ltd.

Beijing Waterdrop Technology Group Co., Ltd.

Lizhao Guo

Song Yang

Peng Shen

Xiaobo Zhou

Mingxing Huang

Junfeng Yuan

Fupo Wang

An intent recognition method, an intent recognition apparatus, a storage medium and a computer device are provided, aiming to improve the accuracy and the efficiency of the intent recognition, which relates to the technical field of information. The method includes: acquiring user's audio to be recognized; determining multi-frame audio feature vectors corresponding to the audio to be recognized; inputting the multi-frame audio feature vectors into a preset intent recognition model to obtain multiple output sequences corresponding to the multi-frame audio feature vectors, wherein the output sequences comprise blank characters and non-blank characters; and determining a target intent corresponding to the audio to be recognized based on the multiple output sequences. The present disclosure is suitable for recognizing the intent of the user.

Intent recognition method, apparatus and storage medium

A method for evaluating a speech forced alignment model, an electronic device, and a storage medium are provided. The method includes: according to each audio segment in a test set and a text corresponding to each audio segment, acquiring, by using a speech forced alignment model to be evaluated, a phoneme sequence corresponding to each audio segment and a predicted start time and a predicted end time of each phoneme in the phoneme sequence; for each phoneme, obtaining a time accuracy score of the phoneme according to the predicted start time and the predicted end time of the phoneme and a predetermined reference start time and a predetermined reference end time of the phoneme; and determining a time accuracy score of said speech forced alignment model according to the time accuracy score of each phoneme.

Method for evaluating a speech forced alignment model, electronic device, and storage medium

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Beijing, China

Lizhao Guo