Within each harmonic spectrum of a sequence of spectra derived from analysis of a waveform representing human speech are identified two or more fundamental or harmonic components that have frequencies that are separated by integer multiples of a fundamental acoustic frequency. The highest harmonic frequency that is also greater than 410 Hz is a primary cap frequency, which is used to select a primary phonetic note that corresponds to a subset of phonetic chords from a set of phonetic chords for which acoustic spectral is available. The spectral data can also include frequencies for primary band, secondary band (or secondary note), basal band, or reduced basal band acoustic components, which can be used to select a phonetic chord from the subset of phonetic chords corresponding to the selected primary note.

The present disclosure discloses a method and system for generating mixed voice data, and belongs to the technical field of voice recognition. In the method for generating mixed voice data according to the present disclosure, a pure voice and noise are collected first, normalization processing is performed on the collected voice data, randomization processing is performed on processed data, then GAIN processing is performed on the data, and finally filter processing is performed to obtain mixed voice data. The system for generating mixed voice data according to the present disclosure includes a collecting unit, a calculating unit, and a storage unit, the collecting unit being electrically connected to the calculating unit, and the calculating unit being connected to the storage unit through a data transmitting unit. The present disclosure provides the method and the system to meet the data requirement of deep learning.

A method and device for detecting an attack in a sound signal to be coded wherein the sound signal is processed in successive frames each including a number of sub-frames. The device comprises a first-stage attack detector for detecting the attack in a last sub-frame of a current frame, and a second-stage attack detector for detecting the attack in one of the sub-frames of the current frame, including the sub-frames preceding the last sub-frame. No attack is detected when the current frame is not an active frame previously classified to be coded using a generic coding mode. A method and device for coding an attack in a sound signal are also provided. The coding device comprises the above mentioned attack detecting device and an encoder of the sub-frame comprising the detected attack using a transition coding mode using a glottal-shape codebook populated with glottal impulse shapes.

An information processing apparatus is connected to a peripheral apparatus that includes sound inputting means for outputting a sound signal representative of sound of surroundings. The information processing apparatus performs control such that, in a case where sound input is required in processing of an application determined in advance, in a state in which a sound signal accepted from the peripheral apparatus is cut off, the sound signal accepted from the peripheral apparatus is accepted and the sound signal is used only in the processing of the application determined in advance.

This invention provides a signal processing apparatus capable of obtaining an output signal of sufficiently high quality if the phase of an input signal is largely different from the phase of a true voice. The signal processing apparatus includes a voice detector that receives a mixed signal including a voice and a signal other than the voice and obtains existence of the voice as a voice flag, a corrector that receives the mixed signal and the voice flag and obtains a corrected mixed signal generated by correcting the mixed signal in accordance with a state of the voice flag, and a shaper that receives the corrected mixed signal and shapes the corrected mixed signal.

This invention provides a signal processing apparatus capable of obtaining an output signal of sufficiently high quality if the phase of an input signal is largely different from the phase of a true voice. The signal processing apparatus includes a voice detector that receives a mixed signal including a voice and a signal other than the voice and obtains existence of the voice as a voice flag, a corrector that receives the mixed signal and the voice flag and obtains a corrected mixed signal generated by correcting the mixed signal in accordance with a state of the voice flag, and a shaper that receives the corrected mixed signal and shapes the corrected mixed signal.

This application discloses an audio processing method and a terminal. The method may include: collecting, by a first terminal, an original speech of a first user, translating the original speech of the first user into a translated speech of the first user, receiving an original speech of a second user that is sent by a second terminal, and translating the original speech of the second user into a translated speech of the second user; sending at least one of the original speech of the first user, the translated speech of the first user, and the translated speech of the second user to the second terminal based on a first setting; and playing at least one of the original speech of the second user, the translated speech of the second user, and the translated speech of the first user based on a second setting.

Within each harmonic spectrum of a sequence of spectra derived from analysis of a waveform representing human speech are identified two or more fundamental or harmonic components that have frequencies that are separated by integer multiples of a fundamental acoustic frequency. The highest harmonic frequency that is also greater than 410 Hz is a primary cap frequency, which is used to select a primary phonetic note that corresponds to a subset of phonetic chords from a set of phonetic chords for which acoustic spectral is available. The spectral data can also include frequencies for primary band, secondary band (or secondary note), basal band, or reduced basal band acoustic components, which can be used to select a phonetic chord from the subset of phonetic chords corresponding to the selected primary note.

The present disclosure discloses a method and system for generating mixed voice data, and belongs to the technical field of voice recognition. In the method for generating mixed voice data according to the present disclosure, a pure voice and noise are collected first, normalization processing is performed on the collected voice data, randomization processing is performed on processed data, then GAIN processing is performed on the data, and finally filter processing is performed to obtain mixed voice data. The system for generating mixed voice data according to the present disclosure includes a collecting unit, a calculating unit, and a storage unit, the collecting unit being electrically connected to the calculating unit, and the calculating unit being connected to the storage unit through a data transmitting unit. The present disclosure provides the method and the system to meet the data requirement of deep learning.

An information processing apparatus is connected to a peripheral apparatus that includes sound inputting means for outputting a sound signal representative of sound of surroundings. The information processing apparatus performs control such that, in a case where sound input is required in processing of an application determined in advance, in a state in which a sound signal accepted from the peripheral apparatus is cut off, the sound signal accepted from the peripheral apparatus is accepted and the sound signal is used only in the processing of the application determined in advance.