275 results about "Letter to sound" patented technology

The invention discloses a mutually translating system of sign language and speech, a gesture image collecting module 101 is used for collecting the video data of gestures, an input image preprocessing module 102 is used for image preprocessing, an image characteristic extracting module 103 is adopted for image characteristic extraction of the video data after image preprocessing and then outputs 56-dimension characteristic vectors, the 56-dimension characteristic vectors are used for constructing a sign language model 104, a continuous and dynamic sign language recognizing module 105 is used for recognizing the sign language model 104, and recognition results are output and translated into Chinese speech through a Chinese sounding module 106; voice signals collected by a voice signal collecting device are input in a speech recognition programming interface of Microsoft Speech SDK 5.1 and converted into characters to be output; three-dimensional models and three-dimensional animation are established through three-dimensional modeling software; the information of the three-dimensional models and the three-dimensional animation is output into .x formatted files through a Panda plug-in; and DirectX 3D is utilized to load the .x formatted three-dimensional models and the three-dimensional animation and then output sign language animation.

The invention discloses a video interaction control method and device, and belongs to the technical field of monitoring. The device comprises a PTZ camera (1), a first direction sound collection unit (2), a second direction sound collection unit (3), a processing unit (4), and a communication unit (5). The processing unit (4) is used for recognizing the obtained sound information, calculating the position information of a sound source according to first sound information and second sound information when the obtained sound information belongs to preset sound sample data, and controlling the PTZ camera (1) to turn to the sound source according to the calculated position information. Through the recognition of the sound generated by the sound source, the device controls the PTZ camera (1) to turn to the sound source when the sound generated by the sound source belongs to the preset sound sample data, and carries out the interaction of the obtained video information of the sound source and a preset video interaction object, thereby enabling the emergency of the sound source to be timely fed back to the video interaction object, and enabling the sound source to be rescued or cared timely.

An improved method and arrangement for altering musical dynamics of a sound S included in a sound signal is disclosed. The altering of the musical dynamics is performed by filtering and amplification of the sound signal. The filtering is performed by the use of a parametric equalizer, the parametric equalizer having a first gain G₁ and a resonance frequency f, being related to a pitch frequency f_p of said sound S. The amplification is performed by an amplifier amplifying the sound signal with a second gain G₂, the second gain G₂ being dependent on the first gain G₁.

The invention relates to the field of language learning, in particular to a language learning device, comprising an input module for receiving the voice information inputted by a user, a standard mandarin word stock with the storage of spellings of commonly used characters and words and standard mandarin audio data, a comparison module for comparing the inputted voice information with the standard mandarin audio data, a display module for displaying a comparison result and a playing module for playing the standard mandarin audio data. The language learning device has the beneficial effect of finding wrong pronunciation by comparing the inputted voice information with the standard mandarin audio data, and helping to correct the pronunciation habit of a user by correct pronouncing demonstration and promotion.

Provided is a sound event recognition method that may improve a sound event recognition performance using a correlation between difference sound signal feature parameters based on a neural network, in detail, that may extract a sound signal feature parameter from a sound signal including a sound event, and recognize the sound event included in the sound signal by applying a convolutional neural network (CNN) trained using the sound signal feature parameter.

A sound event detection method includes receiving a sound signal and determining and outputting whether a sound event is present in the sound signal by applying a trained neural network to the received sound signal, and performing post-processing of the output to reduce an error in the determination, wherein the neural network is trained to early stop at an optimal epoch based on a different threshold for each of at least one sound event present in a pre-processed sound signal. That is, the sound event detection method may detect an optimal epoch to stop training by applying different characteristics for respective sound events and improve the sound event detection performance based on the optimal epoch.

The invention discloses a sound box control method, a sound box and a sound box system, and relates to the fields of intelligent terminals, man-machine interaction and the like. The method comprises the steps that a first sound box collects a first sound signal, and a second sound box collects a second sound signal; the first sound box determines the position of a sound source according to the first sound signal and the second sound signal, and determines a first distance between the sound source and the first sound box and a second distance between the sound source and the second sound box; the first sound box determines a time delay difference based on the first distance and the second distance; the first sound box indicates the second sound box to make a sound at a second moment, the second moment is determined according to the first moment and the time delay difference, and the first moment is the sound making time of the first sound box; the first sound box sends out a third soundsignal at a first moment, and the second sound box sends out a fourth sound signal at a second moment, the third sound signal and the fourth sound signal are signals of different sound channels of the same audio file. In this way, a user can obtain a good three-dimensional sound effect at different positions in a room.

The invention discloses an intelligent monitoring system based on sound source positioning. Abnormal sound can be precisely judged and positioned in daily patrol processes, and the orientation of the abnormal sound is obtained at the first time, so the abnormal event can be timely processed. The intelligent monitoring system comprises a sound acquisition unit, a sound position discrimination unit, an abnormal sound discrimination unit and an execution unit. The sound acquisition unit acquires sound signals in real time and sends the acquired sound to the sound position discrimination unit so as to determine the specific orientation of the sound. The abnormal sound discrimination unit discriminates the sound signals, judges whether the sound is abnormal sound, and if the sound is abnormal sound, controls the execution mechanism to give out an alarm signal to a main control chamber and rotate a holder camera to pass the image of a generation place of the abnormal sound back the main control chamber for reference of workers in the main control chamber.

Presented herein are systems and methods for processing sound signals for use with electronic speech systems. Sound signals are temporally parsed into frames, and the speech system includes a speech codebook having entries corresponding to frame sequences. The system identifies speech sounds in an audio signal using the speech codebook.

The invention provides a sound signal separation method of double sound sources and a sound pickup. The method comprises the followings steps: dividing the mixed sound signals into voice frames, estimating the delay inequality of the voice frames reaching different array element combinations in the microphone array, judging the propagation direction of the voice frames according to the determineddelay inequality, separating sound signals corresponding to different sound sources in real time according to the propagation direction, and outputting the sound signals. Time delay estimation is carried out through a generalized cross-correlation algorithm, time delay can be accurately estimated, the calculation amount of the algorithm is low, the algorithm can track the sound source orientationmore accurately and efficiently in a real-time system, and therefore automatic separation of sound signals of a first sound source and a second sound source is achieved.

The invention provides a disease detection method based on cough sound recognition, which comprises the following steps of: acquiring sound information to be detected or training sound information, and extracting a characteristic Mel-frequency cepstrum coefficient of the sound information to be detected or extracting a training Mel-frequency cepstrum coefficient of the training sound information;drawing a characteristic Mel spectrogram by taking time and frequency as axes according to the characteristic Mel frequency cepstrum coefficient, or respectively drawing a plurality of training Mel spectrograms by taking time and frequency as axes according to the plurality of training Mel frequency cepstrum coefficients; and training the plurality of training Mel spectrograms through a preset convolutional neural network to obtain a feature convolutional neural network model. Compared with the prior art, the method has the advantages that the detection process of related diseases is simple, and the detection efficiency is high.

The invention discloses a speech synthesis device supporting styles of multiple speakers, language switching and controllable rhythm, and belongs to the field of speech synthesis. The device comprises a text acquisition unit and a text preprocessing unit which are used for acquiring and preprocessing different text data; a language switching unit used for storing and displaying speaker tags corresponding to the training data of different language types and automatically identifying the language type of the text to be synthesized; a style switching unit used for specifying a speech synthesis style according to the language type; a speaker switching unit for specifying a speaker; a coding-decoding unit for obtaining a predicted Mel spectrum; a training unit for training the encoding-decoding unit; and a voice synthesis unit which is used for generating the predicted Mel frequency spectrum and converting the predicted Mel frequency spectrum into a sound signal for voice playing. According to the invention, the speaker and the style of the speaker can be respectively controlled while the voice with richer rhythm change is generated.

The present invention provides a brand new digital and automatic evaluation mode for evaluating the uniformity of the troop review queues by analyzing and processing the footstep sound signals of the troop review queues to obtain the uniformity of the queue paces. The technical scheme adopted by the present invention is that the queue pace uniformity evaluation method based on the sound signals comprises 1) a sound acquisition and noise reduction step; 2) a pace extraction step of extracting the pace coordinates to determine the concrete position of each pace in the sound signals; 3) a pace uniformity analysis step characterized in that an S curve of the ideal standard uniform pace sound signals is constructed, the correlation analysis is carried out on the S curve and an accumulated energy curve of the actual sound signals, the larger is a correlation coefficient, the more similar are the actual footstep signals and the standard uniform footstep sound signals, namely, the actual footstep signals are more uniform. The queue pace uniformity evaluation method based on the sound signals of the present invention is mainly applied to the analysis and processing of the footstep sound signals.

The embodiment of the invention discloses a sound source position determination method and device, electronic equipment and a computer readable storage medium. The sound source position determinationmethod comprises the following steps: acquiring a plurality of mixed sound signals acquired by a plurality of microphones, wherein each microphone corresponds to one mixed sound signal; performing sound separation on the plurality of mixed sound signals to obtain a plurality of sound signals, wherein each sound signal corresponds to one sound source; performing preset sound detection on the plurality of sound signals; and determining a sound source position of the sound signal according to the at least one sound signal which detects the preset sound. According to the method, the mixed sound isseparated, and the sound source position is determined according to the preset sound detected by the separated sound, so that the technical problem that the sound source position cannot be accuratelyjudged in the prior art is solved.