30results about How to "Accurate Speech Recognition Results" patented technology

The invention discloses a translation method and device, electronic equipment and a readable storage medium, and relates to a translation technology. According to the embodiment of the invention, according to associated information of a to-be-translated content, at least one knowledge content is obtained, wherein each knowledge content in the at least one knowledge content comprises contents of afirst language type and contents of a second language type. According to the method and the device, the translation result of the to-be-translated content can be obtained by utilizing the at least oneknowledge content, and the at least one knowledge content obtained in advance is used as the global information of the translation task, so that the consistency of the translation results of the sameto-be-translated content can be ensured, and the quality of the translation result is improved.

The present invention provides a speech recognition method and device, wherein the method includes: performing clustering processing on training data feature vectors to obtain clustering training data feature vectors; using the clustering training data feature vectors to perform Interpolation calculation: input the feature vector of the data to be recognized after the interpolation calculation into the speech recognition model for adaptive adjustment of the speech recognition model. The invention can improve the accuracy and processing efficiency of speech recognition self-adaptation.

The invention relates to an audio data collecting method and equipment used for reducing audio data which is missed during collection and increasing data integrity. The method includes: when a first trigger, a second trigger and a third trigger are used to detect audio signals and the fact that the energy of the audio signal detected by the first trigger is larger than or equal to the triggering threshold of the first trigger is determined, determining that the first trigger is triggered, wherein the triggering threshold of the first trigger is smaller than a first preset threshold; enabling the data channel of a storage so as to use the storage to collect the audio data input into an audio input system.

Embodiments of the present invention provide a voice recognition method, device, equipment, and storage medium. Wherein, the voice recognition method may include: acquiring multiple wake-up voice signals from multiple locations; performing sound source localization on the multiple wake-up voice signals to determine the position of the wake-up voice; The audio signal of the position is suppressed to obtain the signal to be recognized; voice recognition is performed on the signal to be recognized. By first determining the wake-up voice position, audio signals at other positions can be suppressed, thereby maintaining the validity of the voice at the wake-up voice position, reducing the impact of noise signals at other positions on speech recognition, and reducing the interference to the wake-up voice position.

The invention discloses a text classification method and device for voice recognition, wherein the method includes: collecting training text and training voice consistent with the content of the training text for each business category according to the type of the business category; Decode to obtain the word confusion network of the training speech; according to the training text and the word confusion network, extract the text feature of the training text; according to the text feature, support vector machine classifier in the training set; by the trained support vector machine classifier Classify text. The text classification method and device for speech recognition of the present invention convert the word graph network into a word confusion network suitable for text classification, convert the confused words contained in the word confusion network into text features, and use the support vector machine algorithm to perform a method based on The text classification of confusing words can get more accurate classification results and improve the accuracy of speech recognition text classification.