119 results about "Transient noise" patented technology

Audio frames are classified as either speech, non-transient background noise, or transient noise events. Probabilities of speech or transient noise event, or other metrics may be calculated to indicate confidence in classification. Frames classified as speech or noise events are not used in updating models (e.g., spectral subtraction noise estimates, silence model, background energy estimates, signal-to-noise ratio) of non-transient background noise. Frame classification affects acceptance/rejection of recognition hypothesis. Classifications and other audio related information may be determined by circuitry in a headset, and sent (e.g., wirelessly) to a separate processor-based recognition device.

A method of and system for transient noise rejection for improved speech recognition. The method comprises the steps of (a) receiving audio including user speech and at least some transient noise associated with the speech, (b) converting the received audio into digital data, (c) segmenting the digital data into acoustic frames, and (d) extracting acoustic feature vectors from the acoustic frames. The method also comprises the steps of (e) evaluating the acoustic frames for transient noise on a frame-by-frame basis, (f) rejecting those acoustic frames having transient noise, (g) accepting as speech frames those acoustic frames having no transient noise and, thereafter, (h) recognizing the user speech using the speech frames.

A voice enhancement system is provided for improving the perceptual quality of a processed voice signal. The system improves the perceptual quality of a received voice signal by removing unwanted noise from a voice signal recorded by a microphone or from some other source. Specifically, the system removes sounds that occur within the environment of the signal source but which are unrelated to speech. The system is especially well adapted for removing transient road noises from speech signals recorded in moving vehicles. Transient road noises include common temporal and spectral characteristics that can be modeled. A transient road noise detector employs such models to detect the presence of transient road noises in a voice signal. If transient road noises are found to be present, a transient road noise attenuator is provided to remove them from the signal.

The invention discloses a method for suppressing transient noise in voice, and belongs to the technical field of signal processing. The method for suppressing transient noise in voice is characterized by comprising a gamma through frequency cepstrum coefficient extraction module, a transient noise detection module and a voice signal reconstruction module, wherein the input end of the gamma through frequency cepstrum coefficient extraction module receives a voice signal containing noise, the output end of the gamma through frequency cepstrum coefficient extraction module is connected with the input end of the transient noise detection module, the output end of the transient noise detection module is connected with the input end of the voice signal reconstruction module, the input end of the voice signal reconstruction module receives the voice signal containing noise and is also connected with the output end of the transient noise detection module, and the voice signal reconstruction module outputs the voice with noise removed.

The invention discloses a method used for detecting and suppressing transient noise and relates to the technical field of acoustic signal processing. The method used for detecting and suppressing transient noise solves the technical problems that an existing method is poor in real time performance and poor in suppression effect on transient noise. According to the method, acoustic signals are picked up through a microphone first and then preprocessed, residual steady noise is neglected, preprocessed acoustic signals x(n) are obtained, the short-time spectrum of each frame of x(n) is calculated through fast Fourier transform, transient noise detection is performed on x(n) with a transient noise detection method based on high sampling or auto-spectrum coherence, robust suppression is performed on the transient noise with a protection method based on voice harmonic waves and voice and voice frequency and time frequency continuity, the final transient noise suppression gain of each frame is calculated, and finally all the frames are reconstructed through time domain overlap-add. The method is suitable for voice and acoustic signals and can be applied to both a real-time voice and voice frequency communication system and non-real-time voice and voice frequency signal enhancement.

The invention discloses a device which can restrain the transient noise of an audio power amplifier and can reduce or eliminate the click noise generated in the loudspeaker when the audio power amplifier is switched on or off, or enters or exits the standby mode. The technique proposal of the invention is that the device includes a noise restraining control signal generation module and a noise restraining module. In the noise restraining control signal generation module, a first input terminal receives standby mode enable signal; a second input terminal receives the power supply voltage; a first output terminal is connected with the output of the audio power amplifier and outputs the standby signal to the output of the audio power amplifier; a second output terminal outputs time sequence control signal. In the noise restraining module, the input of the module is connected with the second output terminal of the noise restraining control signal generation module to receive the time sequence control signal; a first output terminal is connected between the audio power amplifier and a blocking capacitor; a second output terminal is connected between the loudspeaker and the blocking capacitor to restrain the transient noise in the loudspeaker, which is generated by the audio transient signal output from the audio power amplifier. The device of the invention can be applied in the audio playing field.

A method is described for generating electrode stimulation signals for electrode contacts in a cochlear implant electrode array. An input audio signal is processed to generate band pass channel signals that each represent an associated band of audio frequencies. A channel envelope is extracted from each channel signal. The input audio signal and the channel envelopes are processed to produce transient reduced envelopes based on: i. determining for each channel envelope a normalized channel-specific transient indicator characterizing transient noise present in the channel signal, ii. determining a combined transient indicator as a function of the channel-specific transient indicators, and iii. applying a channel-specific gain to the channel envelopes as a function of the combined transient indicator to produce the transient reduced envelopes. The transient reduced envelopes are then used to generate electrode stimulation signals to the electrode contacts.

A transient noise removal system removes or dampens undesired transients from speech. When the transient noise removal system receives a speech frame, the system performs a wavelet transform analysis. The speech frame may be represented by one or more wavelet coefficients across one or more wavelet levels. For a given wavelet level, the transient noise-removal system may determine a wavelet threshold. The transient noise removal system may compare the threshold corresponding to a wavelet level to the wavelet coefficients within that level. The transient noise removal system may attenuate each wavelet coefficient based on a comparison to a threshold.

A method, system and apparatus for detecting soft errors in non-dataflow circuits. In a preferred embodiment, input is received at a latch system. The latch system consists of two pairs of latches. The second pair of latches is parallel to the first pair of latches. Both pairs of latches capture the input. However, the second pair of latches captures the input later in time relative to the first pair of latches latch. The captured input is then transferred from the first latch in each pair of latches to the second latch in each pair of latches. A comparison is made of the input in the two second latches. If the input captured in the two second latches is not the same, then a message is sent to a recovery unit.

The invention provides a CNN-DNN hybrid neural network based noise reduction method. The method is implemented by the following steps that 1, a CNN-DNN hybrid neural network noise reduction model is established; 2, a training set is established for training the CNN-DNN hybrid neural network noise reduction model established in the step 1; and 3, a speech signal needing to be subjected to noise reduction is input to the trained CNN-DNN hybrid neural network noise reduction model in the step 3, and a clean speech signal spectrum is output. The CNN-DNN hybrid neural network based noise reductionmethod has better automatic identification separation and removal capabilities on transient noise and non-transient noise.

The invention discloses a method for inhibiting transient noise in a voice and belongs to the technical field of signal processing. The method for inhibiting the transient noise in the voice is characterized in that a Gammatone frequency cepstral coefficient extracting module, a transient noise detecting module and a voice signal re-establishing module are employed in the method; an input end of the Gammatone frequency cepstral coefficient extracting module receives a noise-containing voice signal, an output end of the Gammatone frequency cepstral coefficient extracting module is connected with an input end of the transient noise detecting module, an output end of the transient noise detecting module is connected with an input end of the voice signal re-establishing module, the input end of the voice signal re-establishing module receives the noise-containing voice signal and is further connected with the output end of the transient noise detecting module, and the voice signal re-establishing module outputs a de-noised voice.

The invention discloses a level shift circuit suitable for a GaN high-speed gate drive circuit, and belongs to the technical field of power management. Gate drive control signal transmission is carried out by using a voltage-to-current-to-voltage structure, so that the rail-to-rail output capability is realized, and the situation of signal delay and even loss caused by the fact that the voltage ofa switch node of the GaN high-speed gate drive circuit is negative in dead time can be prevented; A dynamic current branch is adopted to carry out fast voltage transient protection, a common-mode transient noise interference resisting module is adopted to carry out anti-floating power supply rail dv/dt crosstalk protection, and the high CMTI capacity of an input end and an intermediate node of alevel shift circuit is achieved. A positive feedback latch module for limiting current is used for latching the current as an output maintaining structure. According to the level shift circuit, the transmission delay of the level shift circuit is reduced, high-speed signal transmission is realized, a low-resistance access and positive feedback are provided to prevent circuit output from being interfered by high dv/dt capability of the floating power supply rail, so that the high CMTI capability of the output end of the level shift circuit is realized, and the reliability of the circuit is improved.

System and method for producing enhanced speech data associated with at least one speaker. The process of producing the enhanced speech data comprises: receiving distant signal data from a distant acoustic sensor; receiving proximate signal data from a proximate acoustic sensor located closer to the speaker than the distant acoustic sensor; receiving optical data originating from an optical unit configured for optically detecting acoustic signals in an area of the speaker and outputting data associated with speech of the speaker; processing the distant and proximate signals data for producing a speech reference and a noise reference; operating an adaptive noise estimation module, which identifies stationary and/or transient noise signal components, using the noise reference; and operating a post filtering module, which uses the optical data, speech reference and identified noise signal components for creating an enhanced speech data.

A noise reduction system is connected to at least two input channels for receiving input signals that have substantially identical program content but differing instantaneous noise transients. The system selects a filtered input signal that has the lowest instantaneous noise transient level. In another aspect, the noise reduction system removes instantaneous transient noise from an input signal by way of a blanker. The blanker includes a switch that opens whenever a band-pass filtered input signal is greater than the average level of the signal by a predetermined proportional amount. The input signal also includes continuous noise that is removed by a continuous noise suppressor. The continuous noise is removed by a low pass filter whose corner frequency is responsive to a differentiated input signal divided by the program component signal, or vice versa. In another aspect, the noise reduction system includes at least two of a switcher, blanker or continuous noise suppressor in connected in series to remove both instantaneous noise transients and continuous noise from an input signal.

A first oscillating signal presenting a peak, a valley, a rising portion gradually increasing from the valley to the peak, and a falling portion gradually decreasing from the peak to the valley is generated. A second oscillating signal presenting an instantly transiting edge, which occurs simultaneously with either the peak or the valley of the first oscillating signal, is generated. The first and the second oscillating signals are input to a first and a second power supply channels, respectively, for converting a DC voltage source into two separate DC output voltages. The first and the second oscillating signals cause at least one switching transition of the first power supply channel to occur separately in the time domain from at least one switching transition of the second power supply channel, thereby preventing transient spikes from superposing together.