65 results about "Dynamic range compression" patented technology

The invention relates to the technical field of artificial intelligence and digital audio signal processing, and particularly discloses a Karaoke all-in-one machine intelligent tuning method based on AI sound effect optimization, and the method comprises the steps: obtaining an original mixed audio signal sung by a user, and carrying out the preprocessing; processing the preprocessed audio by using a multi-source audio separation model based on a deep neural network, and extracting a human voice track and accompaniment components; extracting time-frequency domain features from the human voice track, and performing quantitative evaluation on the voice tension degree of the user in combination with the trained voice state recognition model; dynamically adjusting an equalizer and a dynamic range compression parameter according to an evaluation result to realize adaptive sound effect optimization; synthesizing the optimized voice and accompaniment and outputting the synthesized voice and accompaniment to monitoring equipment; and finally, establishing a personalized user behavior feature vector by collecting user singing performance and historical tuning data, and performing online fine tuning on a system strategy based on a deep Q network reinforcement learning mechanism to continuously optimize a tuning effect.

The invention discloses an automatic gain training data set synthesis method based on gain adjustment and related equipment, and the method comprises the steps: obtaining an original audio signal, and recording related equipment characteristics and environment information; carrying out mean value normalization, smoothing processing, active segment extraction, segmented peak value normalization and dynamic range compression on the audio signal; the audio signal is randomly sliced to generate a slice section signal, the randomly generated slice section signal is used to carry out gain adjustment, the gain adjustment controls the gain change of the slice section signal through a plurality of preset gradient curve functions, and the start-stop value and the change speed of the gain change are generated in a random mode; variable environmental conditions are simulated; and outputting the adjusted audio signal to form a training data set. According to the method, a large number of data sets which can be used for training can be quickly synthesized, and the adaptability of the model to unknown or complex scenes is effectively improved, so that the model can well express in various practical application environments.

In an audio encoder, for audio content received in a source audio format, default gains are generated based on a default dynamic range compression (DRC) curve, and non-default gains are generated for a non-default gain profile. Based on the default gains and non-default gains, differential gains are generated. An audio signal comprising the audio content, the default DRC curve, and differential gains is generated. In an audio decoder, the default DRC curve and the differential gains are identified from the audio signal. Default gains are re-generated based on the default DRC curve. Based on the combination of the re-generated default gains and the differential gains, operations are performed on the audio content extracted from the audio signal.

The invention provides a compression method and device for soft information in a signal demodulation process and electronic equipment. The method comprises the following steps: acquiring linear soft information output by demapping in a signal demodulation process, wherein the linear soft information has a preset dynamic range; the linear soft information is subjected to dynamic range compression processing through a nonlinear quantization algorithm, nonlinear soft information is obtained, and the number of quantization levels allocated to low-amplitude soft information by the nonlinear quantization algorithm is larger than the number of quantization levels allocated to high-amplitude soft information by the nonlinear quantization algorithm; and outputting the non-linear soft information to a decoder, so that the decoder restores an original hard bit stream transmitted by a signal transmitting end based on a confidence coefficient characteristic in the non-linear soft information, and the bit width of the non-linear soft information is adaptive to the bit width constraint of the decoder on the input information. According to the invention, information loss in a signal demodulation process can be reduced.

The invention discloses a dynamic range compression method and device for magnetic flux leakage signal visualization, and the method comprises the steps: obtaining an original magnetic flux leakage signal data matrix obtained through part of collection data, and obtaining a gradient signal matrix after preprocessing and gradient enhancement; obtaining an initial value of a controllable percentile parameter p; calculating a dynamic threshold group based on the current parameter p and the statistical distribution of the gradient signal matrix; carrying out nonlinear compression transformation on the gradient signal matrix by adopting an S-shaped nonlinear compression function and taking a dynamic threshold group as a scale factor to obtain a normalized feature matrix; visual mapping is carried out in combination with the dynamic threshold group, and a pseudo-color image is output; and when the preset requirement is not met, adjusting the parameter p, processing again until the preset requirement is met, and applying the parameter p to all the collected data to obtain a final pseudo-color image. According to the method, the problem of visual range imbalance caused by the great dynamic range of the magnetic flux leakage signal is solved, the parameter adjustment robustness and efficiency can be improved, and slight defect detail reservation and serious defect signal tolerance are both considered.

The invention relates to the field of audio signal processing, in particular to a multi-channel audio signal hybrid coding method and device and a storage medium, and the method comprises the steps: collecting digital audio signals through a plurality of audio input channels, carrying out the anti-aliasing filtering of the collected digital audio signals, so as to obtain audio signals in a 48kHz / 16bit format, and outputting the audio signals in the 48kHz / 16bit format. An audio signal in a 48kHz / 16bit format is processed through a loudness weighted average method, the audio signal after loudness weighted average is processed through a frequency domain mixing technology to obtain a mixed signal, and dynamic range compression is performed on the mixed signal based on calculation of an auditory masking curve to obtain a compressed signal. And carrying out hybrid coding on the compressed signal to obtain a compressed data stream, and packaging and outputting the compressed data stream. Through dynamic mixing and compression processing, the problem of signal distortion caused by a traditional linear superposition method is effectively solved, reasonable superposition of all paths of signals is ensured through dynamic mixing, and level overload caused by simple addition is avoided.

Many portable playback devices cannot decode and playback encoded audio content having wide bandwidth and wide dynamic range with consistent loudness and intelligibility unless the encoded audio content has been prepared specially for these devices. This problem can be overcome by including with the encoded content some metadata that specifies a suitable dynamic range compression profile by either absolute values or differential values relative to another known compression profile. A playback device may also adaptively apply gain and limiting to the playback audio. Implementations in encoders, in transcoders and in decoders are disclosed.

The invention discloses an event feature combined image defogging method, device and equipment, a medium and a product, and the method comprises the steps: inputting an obtained foggy image into a preset encoder for encoding, and extracting potential feature representation; adding noise to the potential feature representation to obtain a noise representation; acquiring event features of event streams synchronously acquired by the foggy image; fusing the event features into a preset image segmentation network, and performing diffusion reverse denoising iteration on the noise representation to obtain a denoising result; and inputting the de-noising result into a preset decoder for decoding to obtain a defogged image. According to the scheme, the limitation of dynamic range compression in the defogging process can be reduced, and the image defogging effect is improved.

A system (400) for providing an audio profile for streaming video, includes an audio profile subsystem (433) that receives audio mix data and synchronizes audio data in an audio profile. A streaming service video streaming server (420) receives video data, uncompressed audio data synchronized with audio tracks, and the audio profile. An audio profile server (430) is configured to receive the audio profile and dynamic range compression descriptors to produce audio profile metadata. An audio reproduction system (410) receives audio profile metadata and listening environment parameters to adjust audio parameters based on the audio rendering system characteristics and a listening environment of the audio rendering system. The audio parameters include one or more of equalization, a filter, a rendering delay, and volume.

On the basis of a bitstream (P), an n-channel audio signal (X) is reconstructed by deriving an m-channel core signal (Y) and multichannel coding parameters (α) from the bitstream, where 1≤m<n. Also derived from the bitstream are pre-processing dynamic range control, DRC, parameters (DRC2) quantifying an encoder-side dynamic range limiting of the core signal. The n-channel audio signal is obtained by parametric synthesis in accordance with the multichannel coding parameters and while cancelling any encoder-side dynamic range limiting based on the pre-processing DRC parameters.In particular embodiments, the reconstruction further includes use of compensated post-processing DRC parameters quantifying a potential decoder-side dynamic range compression. Cancellation of an encoder-side range limitation and range compression are preferably performed by different decoder-side components. Cancellation and compression may be coordinated by a DRC pre-processor.

In an audio encoder, for audio content received in a source audio format, default gains are generated based on a default dynamic range compression (DRC) curve, and non-default gains are generated for a non-default gain profile. Based on the default gains and non-default gains, differential gains are generated. An audio signal comprising the audio content, the default DRC curve, and differential gains is generated. In an audio decoder, the default DRC curve and the differential gains are identified from the audio signal. Default gains are re-generated based on the default DRC curve. Based on the combination of the re-generated default gains and the differential gains, operations are performed on the audio content extracted from the audio signal.

Methods and systems are disclosed configured to perform automated volume leveling on speech content in an audio file containing speech and non-speech segments. A low pass filter and a high pass filter may be applied to the audio data, and normalization may be performed. Speech and non-speech segments may be detected. Gain adjustments may be made to achieve a substantially constant short term loudness. Processing may be applied to enhance speech parameters, such as attack and release. An upward expander may be used to achieve a target loudness level. A limited and / or dynamic range compressor may be utilized to satisfy true peak and / or short term loudness specifications. A file of processed audio data may be generated and transmitted to one or more destinations for broadcast and / or streaming.

The invention provides a concept for combined dynamic range compression and guided clipping prevention for audio devices. An audio decoder for decod- ing an audio bitstream and a metadata bitstream related to the audio bitstream according to the concept comprises an audio processing chain configured to receive a decoded audio signal de- rived from the audio bitstream and to adjust characteristics of the audio signal in order to produce an audio output signal, the audio adjustment chain com- prising a plurality of adjustment stages including a dynamic range control stage for adjusting a dynamic range of the audio output signal and a guided clipping prevention stage for preventing clipping of the audio output signal; and a metadata decoder configured to receive the metadata bitstream and to ex- tract dynamic range control gain sequences and guided clipping prevention gain sequences from the metadata bitstream, at least a part of the dynamic range control gain sequences being supplied to the dynamic range control stage, and at least a part of the guided clipping prevention gain sequences being supplied to the guided clipping prevention stage.

Various implementations include hearing assist devices and systems for processing audio signals. In particular implementations, a process includes receiving an input signal via a microphone; performing a sound pressure level (SPL) shift that decreases a gain of the input signal to generate a gain reduced audio signal; amplifying the gain reduced audio signal using dynamic range compression to generate an amplified audio signal; generating a noise reduced amplified signal using active noise reduction that simultaneously processes the input signal; and outputting the noise reduced amplified signal to an electrodynamic transducer.

The invention relates to a system for maintaining reversible dynamic range control information associated with a parametric audio encoder. On the basis of a bitstream (P), an n-channel audio signal (X) is reconstructed by deriving an m-channel core signal (Y) and a multi-channel coding parameter (alpha) from the bitstream, where 1 < = m < n. A pre-processing dynamic range control parameter, i.e., a pre-processing DRC parameter (DRC2), that quantizes the encoder-side dynamic range limitation of the core signal is also derived from the bitstream. The n-channel audio signal is obtained by parameter synthesis according to the multi-channel encoding parameters while eliminating any encoder-side dynamic range limitations based on the pre-processing DRC parameters. In particular embodiments, the reconstruction further includes the use of compensated post-processing DRC parameters that quantify possible decoder-side dynamic range compression. Preferably, encoder-side range limit cancellation and range compression are performed by different decoder-side components. Cancellation and compression may be coordinated by a DRC preprocessor.

An audio processing unit, comprising a buffer memory (201) configured to store at least one frame of an encoded audio bitstream which includes audio data and a metadata container having a header and one or more metadata payloads after the header, a parser (205) coupled to the buffer memory, and an audio decoder (202) coupled to the parser. The one or more metadata payloads include dynamic range compression (DRC) metadata including DRC control values indicative of a compression profile assumed by an encoder to generate said DRC control values. The audio decoder is configured to perform dynamic range compression on decoded audio data generated by decoding said at least some of the audio data, using the DRC metadata.

A hearing aid includes neural network circuitry configured to implement a neural network trained to separate a speech subsignal and a noise subsignal from an input audio signal, and digital processing circuitry. The digital processing circuitry includes a speech wide dynamic range compression (WDRC) pipeline and a noise WDRC pipeline. The speech WDRC pipeline is configured to apply a set of speech fitting curves to the speech subsignal based at least in part on the level of the speech subsignal. The noise WDRC pipeline is configured to apply a set of noise fitting curves to the noise subsignal based at least in part on the level of the noise subsignal. The set of speech fitting curves is different from the set of noise fitting curves.

The invention relates to an audio signal processing method and device and a storage medium. The audio signal processing method comprises the following steps: converting an audio signal to be processed into a frequency domain to obtain a frequency domain audio signal; performing frequency band division processing on the frequency domain audio signal to obtain frequency domain audio signals of different frequency bands; performing dynamic range compression (DRC) processing on the frequency domain audio signal of each frequency band in the different frequency bands to obtain a DRC-processed frequency domain audio signal of each frequency band; and adding the DRC processed frequency domain audio signal of each frequency band, and performing time domain conversion to obtain a DRC processed time domain audio signal of the audio signal to be processed. A multi-band dynamic range compressor is realized in a frequency domain, point-by-point calculation is avoided, the calculation amount is reduced, and introduction of unnecessary frequency components is avoided.

To provide a method and a system for performing dynamic range compression (DRC) on audio in a manner intended to reduce or prevent undesirable artifacts in the output audio, such as pumping and breathing.SOLUTION: A DRC system performs DRC to maximize the average loudness and reduce or prevent distortion during playback. When the average loudness of the input audio approaches, meets, or exceeds a target, knee point for DRC or a signal level near the maximum playback level of the intended playback system, then it is assumed that such input audio is already compressed and therefore applies reduced DRC or full DRC to the input audio.SELECTED DRAWING: Figure 2

The invention relates to a microphone array beam forming method, system and device, and the method comprises the steps: obtaining an original sound signal collected by an omnidirectional microphone, and carrying out the synchronous calibration processing of the original sound signal, and obtaining a corresponding preprocessing signal; carrying out differential processing on the pre-processed signal to obtain a plurality of heart-shaped directivity unit signals, and carrying out phase correction and gain balance optimization to obtain optimized heart-shaped unit signals; performing signal covariance matrix and guide vector calculation on the optimized heart-shaped unit signal according to a preset MVDR algorithm to obtain a corresponding optimal weight; performing beam forming processing on the optimal weight and the optimized heart-shaped unit signal to obtain an initial beam signal; performing frequency response equalization and dynamic range compression on the initial beam signal to obtain an enhanced output signal; and performing performance monitoring and parameter adjustment based on the enhanced output signal to obtain a final real-time beam signal. According to the invention, stable operation of the system in different acoustic environments can be ensured.

The invention relates to a system for maintaining reversible dynamic range control information associated with a parametric audio encoder. On the basis of a bitstream (P), an n-channel audio signal (X) is reconstructed by deriving an m-channel core signal (Y) and a multi-channel coding parameter (alpha) from the bitstream, where 1 < = m < n. A pre-processing dynamic range control parameter, i.e., a pre-processing DRC parameter (DRC2), that quantizes the encoder-side dynamic range limitation of the core signal is also derived from the bitstream. The n-channel audio signal is obtained by parameter synthesis according to the multi-channel encoding parameters while eliminating any encoder-side dynamic range limitations based on the pre-processing DRC parameters. In particular embodiments, the reconstruction further includes the use of compensated post-processing DRC parameters that quantify possible decoder-side dynamic range compression. Preferably, encoder-side range limit cancellation and range compression are performed by different decoder-side components. Cancellation and compression may be coordinated by a DRC preprocessor.

The application discloses an audio signal processing method and system, a sound box and a storage medium, and relates to the technical field of the sound box. The method comprises the following steps: acquiring a transient audio signal; performing delay processing on the transient audio signal to obtain a delayed audio signal; when the transient value of the delayed audio signal exceeds a preset threshold, performing automatic gain processing on the delayed audio signal to obtain a gain audio signal; performing dynamic range compression on the gain audio signal to obtain a first steady-state signal; and playing the first steady-state signal through the sound box. The application solves the problem that the sound box in the prior art is distorted at a large volume, achieves the purpose of playing the signal after processing the received signal of the sound box, and avoids signal distortion.

Dynamic range control (DRC) cannot be simply applied to higher-order ambisonics (HOA) based signals. [Solution] A method for performing DRC on an HOA signal includes converting the HOA signal to the spatial domain, analyzing the converted HOA signal, and obtaining a gain factor usable for dynamic compression from the results of the analysis. The gain factor can be transmitted together with the HOA signal. When DRC is applied, the HOA signal is converted to the spatial domain, the gain factor is extracted, and in the spatial domain, it is multiplied with the converted HOA signal to obtain a gain-compensated converted HOA signal. The gain-compensated converted HOA signal is converted back to the original HOA domain to obtain a gain-compensated HOA signal.

On the basis of a bitstream (P), an n-channel audio signal (X) is reconstructed by deriving an m-channel core signal (Y) and multichannel coding parameters (α) from the bitstream, where 1≤m<n. Also derived from the bitstream are pre-processing dynamic range control, DRC, parameters (DRC2) quantifying an encoder-side dynamic range limiting of the core signal. The n-channel audio signal is obtained by parametric synthesis in accordance with the multichannel coding parameters and while cancelling any encoder-side dynamic range limiting based on the pre-processing DRC parameters.In particular embodiments, the reconstruction further includes use of compensated post-processing DRC parameters quantifying a potential decoder-side dynamic range compression. Cancellation of an encoder-side range limitation and range compression are preferably performed by different decoder-side components. Cancellation and compression may be coordinated by a DRC pre-processor.

An equine audio system for modulating sound input to a horse comprises anatomically-shaped earbuds with speakers configured to fit securely in the horse's ears. A digital audio processor receives an input audio signal, applies signal processing to generate an output audio signal optimized for an equine auditory system, and transmits the output audio signal to the speakers. The signal processing includes noise cancellation, frequency equalization to emphasize frequencies within the equine hearing range, and dynamic range compression. The earbuds attenuate ambient noise and may include acoustically optimized sound tubes. The system may further include a wireless receiver, a remote control device, an accelerometer for motion-based audio adjustment, and sudden loud noise detection and gradual attenuation capabilities.

Many portable playback devices cannot decode and playback encoded audio content having wide bandwidth and wide dynamic range with consistent loudness and intelligibility unless the encoded audio content has been prepared specially for these devices. This problem can be overcome by including with the encoded content some metadata that specifies a suitable dynamic range compression profile by either absolute values or differential values relative to another known compression profile. A playback device may also adaptively apply gain and limiting to the playback audio. Implementations in encoders, in transcoders and in decoders are disclosed.

The invention provides a signal processing method of a single-channel hearing aid and the single-channel hearing aid, and the method comprises the steps: obtaining a time-domain signal frame of a single-channel audio signal, and carrying out the time-frequency transformation of the time-domain signal frame, and obtaining the spectrum representation of the time-domain signal frame in a frequency domain; dividing the frequency spectrum into a plurality of virtual frequency sub-bands, and calculating a corresponding dynamic range compression gain for each virtual frequency sub-band; solving the background noise of the frequency spectrum by using a mixed noise power spectral density algorithm to analyze an adaptive noise reduction gain for suppressing the background noise; determining a synthesis mode of a dynamic range compression gain and an adaptive noise reduction gain according to the environmental parameters, and generating a comprehensive gain; and applying the comprehensive gain to the spectrum representation, performing frequency-time inverse transformation on the updated spectrum representation, and reconstructing a target audio signal for output. According to the invention, a multi-channel processing effect can be realized under a single-channel architecture, so that the hearing aid can still provide clear speech signals and comfortable hearing feeling in a complex listening environment.

Aptamer detection techniques with dynamic range compression are described that permit removal of a portion of more abundant aptamers (14) in an aptamer-based assay. In accordance with certain aspects of the present techniques processor-implemented algorithms are employed to facilitate identifying groupings of analytes to be assayed, wherein each grouping will have a different associated dilution factor. Such algorithms may additionally help determine the dilution factors employed for each group. In one aspect a processor-based algorithm may be employed for minimizing or otherwise optimizing total count as part of determining demarcations points (i.e., slice points) between groups. In a further aspect a processor-based algorithm may be employed for minimizing range-error for a set of slice points and dilution factors.

A method performed by an audio source device that is communicatively coupled with an audio output device, the method includes obtaining an audio signal; receiving a volume adjustment; applying the volume adjustment to the audio signal; applying dynamic range compression on the volume adjusted audio signal; and applying an inverse volume adjustment to the compressed audio signal, where the inverse volume adjusted audio signal is to be transmitted to the audio output device.

The invention relates to the technical field of electro-acoustic conversion and signal processing, and discloses a bone conduction signal adaptive enhancement system of an acoustic electro-mechanical sensor, which comprises a signal acquisition unit for synchronously acquiring voltage and current signals of a transducer driving loop; the impedance analysis unit is used for removing a static impedance component based on an equivalent circuit model and extracting a motional impedance component representing mechanical load characteristics; the self-adaptive equalization unit is used for determining damping characteristics according to the motional impedance component and adjusting the gain of the filter; and the displacement protection unit is used for estimating the displacement of the vibrating diaphragm of the transducer in real time according to the motional impedance component and preferentially executing dynamic range compression when the displacement is close to a physical limit. The problem of mechanical overload edge beating caused by gain compensation when bone conduction equipment is in a loose coupling low-damping state is solved, and the mechanical safety of a system is ensured while the sound quality is improved.