Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Sheng Qian

Haifeng Wang

Zhijian Wang

Lei Jia

Junyao Shao

Yan Xie

Yang Sun

Bo Xie

Jinfeng Bai

Qiang Cheng

Tao Chen

Xu Chen

Qi Zhang

Zhen Wu

Zhijie Chen

Xiaoyin Fu

Xiantang Chang

Ce Zhang

Mingxin Liang

Zhengxiang Jiang

Guibin Wang

Xiaokong Ma

Qiguang Zang

Xingyuan Peng

Chuanlei Zhai

Huanxin Zheng

Weigao Li

Fuping Pan

A method for training a speech recognition model, a device and a storage medium, which relate to the field of computer technologies, and particularly to the fields of speech recognition technologies, deep learning technologies, or the like, are disclosed. The method for training a speech recognition model includes: obtaining a fusion probability of each of at least one candidate text corresponding to a speech based on an acoustic decoding model and a language model; selecting a preset number of one or more candidate texts based on the fusion probability of each of the at least one candidate text, and determining a predicted text based on the preset number of one or more candidate texts; and obtaining a loss function based on the predicted text and a standard text corresponding to the speech, and training the speech recognition model based on the loss function.

Method for training speech recognition model, device and storage medium

A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.

Method for recognizing Chinese-English mixed speech, electronic device, and storage medium

An in-cloud wake-up method and system, a terminal and a non-volatile computer-readable storage medium are provided. The in-cloud wake-up method includes: receiving wake-up voice input by a user, and transmitting the wake-up voice to cloud; performing an decoding operation on the wake-up voice in cloud to generate a wake-up text; identifying wake-up characters in the wake-up text; and providing a wake-up instruction according to an identification result. With the in-cloud wake-up method, voice can be identified in cloud, and a smart device can be waken up in cloud according to the identified voice, so that resource consumption and power loss of the terminal device are reduced in the case of ensuring the quality of wake-up.

In-cloud wake-up method and system, terminal and computer-readable storage medium

The present disclosure discloses an interactive voice-control method and apparatus, a device and a medium. The method includes: obtaining a sound signal at a voice interaction device and recognized information that is recognized from the sound signal; determining an interaction confidence of the sound signal based at least on at least one of an acoustic feature representation of the sound signal and a semantic feature representation associated with the recognized information; determining a matching status between the recognized information and the sound signal; and providing the interaction confidence and the matching status for controlling a response of the voice interaction device to the sound signal.

Interactive voice-control method and apparatus, device and medium

A voice recognition method, device, and a server are provided. The method includes: receiving a user voice; determining a wake-up voice of a wake-up word in the user voice, according to an acoustic feature of the user voice; and labeling the wake-up voice with a silence identifier; and ignoring the wake-up voice based on the silence identifier during voice recognition. As such, when a complex decoding algorithm is used to recognize the user voice, recognition of the wake-up word that is irrelevant to an instruction of the user is omitted, thus reducing the data amount to be processed by the decoding algorithm and improving the efficiency of voice recognition.

Voice recognition method, device and server

Embodiments of the present disclosure relate to a method and apparatus for speech recognition. The method includes: determining, based on an acoustic score of a speech frame in a speech signal, a non-silence frame in the speech signal; determining a buffer frame between adjacent non-silence frames based on the acoustic score of the speech frame, a modeling unit corresponding to the buffer frame characterizing a beginning or end of a sentence; and decoding a speech frame after removing the buffer frame from the speech signal, to obtain a speech recognition result.

Method and apparatus for speech recognition

According to embodiments of the present disclosure, a method, apparatus, device, and computer readable storage medium for voice interaction are provided. The method includes: determining a text corresponding to the voice signal based on a voice feature of a received voice signal. The method further includes: determining, based on the voice feature and the text, a matching degree between a reference voice feature of an element in the text and a target voice feature of the element. The method further includes: determining a first possibility that the voice signal is an executable command based on the text. The method further includes: determining a second possibility that the voice signal is the executable command based on the voice feature.

Method, apparatus, device and computer-readable storage medium for voice interaction

A method, apparatus, device, and computer readable storage medium for recognizing and decoding a voice based on a streaming attention model are provided. The method may include generating a plurality of acoustic paths for decoding the voice using the streaming attention model, and then merging acoustic paths with identical last syllables of the plurality of acoustic paths to obtain a plurality of merged acoustic paths. The method may further include selecting a preset number of acoustic paths from the plurality of merged acoustic paths as retained candidate acoustic paths. Embodiments of the present disclosure present a concept that acoustic score calculating of a current voice fragment is only affected by its last voice fragment and has nothing to do with earlier voice history, and merge acoustic paths with the identical last syllables of the plurality of candidate acoustic paths.

Method, apparatus, device and computer readable storage medium for recognizing and decoding voice based on streaming attention model

A method and system for building a speech recognizer, and a speech recognition method and system are proposed. The method for building a speech recognizer includes: reading and parsing each grammar file, and building a network of each grammar; reading an acoustic syllable mapping relationship table, and deploying the network of each grammar as a syllable network; performing a merge minimization operation for each syllable network to form a sound element decoding network; forming the speech recognizer by using the sound element decoding network and a language model. The technical solutions of the present disclosure may be applied to exhibit strong extensibility, support an N-Gram language model, support a class model, present flexible use, and adapt for an embedded recognizer in a vehicle-mounted environment.

Method and system for building speech recognizer, and speech recognition method and system

The present disclosure proposes a speech processing method and a cloud-based speech processing apparatus. The speech processing method includes: acquiring a piece of speech to be recognized collected by a terminal; performing a speech recognition on the piece of speech to be recognized; detecting whether the piece of speech to be recognized ends during the speech recognition; and feeding back a recognized result of the piece of speech to be recognized to the terminal when it is detected that the piece of speech to be recognized ends.

Cloud-based speech processing method and apparatus

The present disclosure provides a method and a device for recognizing a text segmentation position. The method includes: receiving a continuous voice message inputted by a user, and recognizing the continuous voice message to generate a text message corresponding to the continuous voice message; analyzing the text message to determine an interval position, and sequentially inserting a sentence end and sentence begin sign at each interval position; calculating a segmentation value corresponding to the sentence end and sentence begin sign inserted at a present interval position according to a preset algorithm; and determining whether the segmentation value is greater than a preset threshold, and determining the present interval position as a segmentation position when the segmentation value is greater than the preset threshold.

Method and device for recognizing text segmentation position

The present disclosure provides a speech data processing method and apparatus, a device and a storage medium, wherein the method comprises: a client obtains speech data, uses a speech wakeup engine to perform wakeup recognition for the obtained speech data, and stores the obtained speech data in a cyclic buffer queue; the client obtains a wakeup recognition result returned by the speech wakeup engine upon completion of the wakeup recognition, and if the wakeup recognition result is acknowledged wakeup and it is determined that there occurs a case of oneshot currently, determines an interception starting position and obtains buffer data in the cyclic buffer queue from the interception staring position to an end of the queue, the buffer data at least including the content to be recognized; the client sends the buffer data to a speech recognition engine so that the speech recognition engine performs speech recognition for the content to be recognized in the buffer data. The technical solution of the present disclosure can be applied to improve accuracy of the speech recognition result and the like.

Speech data processing method and apparatus, device and storage medium

The present disclosure proposes a method and an apparatus for converting English speech information into a text. The method may include: receiving the English speech information inputted by a user, determining a target speech recognition model according to a preset algorithm, and identifying original phonemes of the English speech information by applying the target speech recognition model; performing a matching on the original phonemes by applying a phonetic model generated by pre-training English texts and a preset probability model, and determining a target phoneme matched successfully; and acquiring a target English text corresponding to the target phoneme, and displaying the target English text on a speech conversion textbox.

Method and apparatus for converting English speech information into text

Embodiments of the present disclosure provide a method for controlling a smart device, a computer device and a non-transitory computer readable storage medium. The method includes performing speech recognition on a speech signal acquired by the smart device; determining whether a control instruction corresponding to the speech signal matches with a present operation scene of the smart device; and adjusting an operation state of the smart device according to the control instruction when the control instruction matches with the present operation scene.

Method for controlling smart device, computer device and storage medium

The present disclosure provides a speech recognition method and device. The method includes: receiving a speech signal; decoding the speech signal according to an acoustic model, a language model and a decoding network established in advance, and dynamically adding a blank unit in a decoding process to obtain an optimum decoding path with the added blank unit, in which the acoustic model is obtained based on connectionist temporal classification training, the acoustic model includes basic pronunciation units and the blank unit, and the decoding network includes a plurality of decoding paths consisting of the basic pronunciation units; and outputting the optimum decoding path as a recognition result of the speech signal.

Growing community of inventors

Beijing, China

Sheng Qian