Iflytek Co., Ltd.

University of Science and Technology of China

Si Wei

Guoping Hu

Qingfeng Liu

Jia Pan

Yu Hu

Cong Liu

Jianqing Gao

Bing Yin

Su Cheng

Yulong Hu

Yintian Zhang

Bo Zhu

Shifu Xiong

Shiliang Zhang

Junhua Liu

Zhiqiang Ma

A speech recognition method and related products are provided. The method includes acquiring a to-be-recognized speech and a configured hot word library; determining, based on the to-be-recognized speech and the hot word library, an audio-related feature used at a current decoding time instant; determining, based on the audio-related feature, a hot word-related feature used at the current decoding time instant from the hot word library; and determining, based on the audio-related feature and the hot word-related feature, a recognition result of the to-be-recognized speech at the current decoding time instant.

Speech recognition method, apparatus and device, and storage medium

A discourse-level text translation method and device, the method comprising: acquiring a text to be translated, the text to be translated being a unit text in a discourse-level text to be translated (S); acquiring an associated text of the text to be translated, the associated text including at least one of a preceding source text, a following source text, and a preceding target text (S); and translating, according to the associated text, the text to be translated (S).

Chapter-level text translation method and device

A method and a system for end-to-end modeling are provided. The method includes: determining a topological structure of a target-based end-to-end model, where the topological structure includes an input layer, an encoding layer, an code enhancement layer, a filtering layer, a decoding layer and an output layer; the code enhancement layer adds information of a target unit to a feature sequence outputted by the encoding layer, the filtering layer filters a feature sequence added with the information of the target unit; collecting multiple pieces of training data; and training parameters of the target-based end-to-end model by using the multiple pieces of the training data.

End-to-end modelling method and system

A method, a device and a storage medium for evaluating speech quality include: receiving speech data to be evaluated; extracting evaluation features of the speech data to be evaluated; performing quality evaluation to the speech data to be evaluated according to the evaluation features of the speech data to be evaluated and a predetermined speech quality evaluation model, in which the speech quality evaluation model is an indication of a relationship between evaluation features of single-ended speech data and quality information of the single-ended speech data.

Method, device, and storage medium for evaluating speech quality

An intelligent scoring method and system for a text objective question, the method comprising: acquiring an answer image of a text objective question (); segmenting the answer image to obtain one or more segmentation results of an answer string to be identified (); determining whether any of the segmentation results has the same number of characters as the standard answer (); if no, the answer is determined to be wrong (); otherwise, calculating identification confidence of the segmentation result having the same number of words as the standard answer, and/or calculating the identification confidence of respective characters in the segmentation result having the same number of words as the standard answer (); determining whether the answer is correct according to the calculated identification confidence (). The method can automatically score text objective questions, thus reducing consumption of human resource, and improving scoring efficiency and accuracy.

Intelligent scoring method and system for text objective question

A method and system for endpoint automatic detection of audio record is provided. The method comprises the following steps: acquiring a audio record text and affirming the text endpoint acoustic model for the audio record text; starting acquiring the audio record data of each frame in turn from the audio record start frame in the audio record data; affirming the characteristics acoustic model of the decoding optimal path for the acquired current frame of the audio record data; comparing the characteristics acoustic model of the decoding optimal path acquired from the current frame of the audio record data with the endpoint acoustic model to determine if they are the same; if yes, updating a mute duration threshold with a second time threshold, wherein the second time threshold is less than a first time threshold. This method can improve the recognizing efficiency of the audio record endpoint.

Method and system for endpoint automatic detection of audio record

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Anhui, China

Si Wei