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公开(公告)号:US10720959B2
公开(公告)日:2020-07-21
申请号:US16147955
申请日:2018-10-01
发明人: Yao-Chun Liu , Chun-Hung Chen , Chen-Chu Hsu , Tsung-Liang Chen
摘要: A spread spectrum based audio frequency communication system at least includes a transmitting apparatus. The transmitting apparatus includes a first dot-product module, a summation module, a transmitting modulation module, a mixture module, a digital-to-analog converter, and a transmitter. The first dot-product module is configured to perform a dot-product of a first data and a first pseudo-noise code, and derive a first spreading data. The summation module is configured to sum up the first spreading data and a second spreading data to form a summed data. The transmitting modulation module is configured to vary a carrier signal with the summed data to form a modulated signal. The mixture module is configured to mix the modulated signal and an acoustic signal up to form a mixed signal. The digital-to-analog converter is configured to convert the mixed signal into acoustic waves. The transmitter transmits the acoustic waves.
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公开(公告)号:US11647344B2
公开(公告)日:2023-05-09
申请号:US17592006
申请日:2022-02-03
发明人: Ting-Yao Chen , Chen-Chu Hsu , Yao-Chun Liu , Tsung-Liang Chen
CPC分类号: H04R25/507 , H04R1/1083 , H04R25/353
摘要: A hearing device is disclosed, comprising a main microphone, M auxiliary microphones, a transform circuit, a processor, a memory and a post-processing circuit. The transform circuit transforms first sample values in current frames of a main audio signal and M auxiliary audio signals from the microphones into a main and M auxiliary spectral representations. The memory includes instructions to be executed by the processor to perform operations comprising: performing ANC over the first sample values using an end-to-end neural network to generate second sample values; and, performing audio signal processing over the main and the M auxiliary spectral representations using the end-to-end neural network to generate a compensation mask. The post-processing circuit modifies the main spectral representation with the compensation mask to generate a compensated spectral representation, and generates an output audio signal according to the second sample values and the compensated spectral representation.
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公开(公告)号:US10534839B2
公开(公告)日:2020-01-14
申请号:US16017813
申请日:2018-06-25
发明人: Pei-Wen Hsieh , Chen-Chu Hsu , Tsung-Liang Chen
摘要: A method for matrix by vector multiplication, applied in an artificial neural network system, is disclosed. The method comprises: compressing a plurality of weight values in a weight matrix and indices of an input vector into a compressed main stream; storing M sets of synapse values in M memory devices; and, performing reading and MAC operations according to the M sets of synapse values and the compressed main stream to obtain a number M of output vectors. The step of compressing comprises: dividing the weight matrix into a plurality of N×L blocks; converting entries of a target block and corresponding indices of the input vector into a working block and an index matrix; removing zero entries in the working block; shifting non-zero entries row-by-row to one of their left and right sides in the working block; and, respectively shifting corresponding entries in the index matrix.
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公开(公告)号:US11875773B2
公开(公告)日:2024-01-16
申请号:US17737501
申请日:2022-05-05
发明人: Ting-Yao Chen , Chen-Chu Hsu , Tsung-Liang Chen
IPC分类号: G10K11/178 , G05D19/02
CPC分类号: G10K11/17854 , G05D19/02 , G10K11/17823 , G10K11/17825 , G10K11/17881 , G10K2210/109 , G10K2210/11 , G10K2210/112 , G10K2210/3026 , G10K2210/3027 , G10K2210/3028 , G10K2210/3038 , G10K2210/3043 , G10K2210/3044 , G10K2210/3046 , G10K2210/3051
摘要: A fan control system applied to N fans inside a computer system is disclosed, comprising: a main microphone, a control circuitry, a wave generation circuitry and a number N of fan controllers. The control circuitry calculates a basic frequency value according to a temperature inside the computer system, and continuously updates a parameter by any known optimization algorithm according to a main audio signal from the main microphone. The wave generation circuitry generates N square waves according to the basic frequency value and the parameter. The N fan controllers respectively form and transmit N modulation signals to the N fans according to the N square waves and N tachometric signals from the N fans. The parameter is one of a frequency variation and a set of phase differences, and the N square waves have the same frequency.
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公开(公告)号:US11501135B2
公开(公告)日:2022-11-15
申请号:US16407222
申请日:2019-05-09
发明人: Meng-Hsun Wen , Cheng-Chih Tsai , Jen-Feng Li , Hong-Ching Chen , Chen-Chu Hsu , Tsung-Liang Chen
摘要: There is provided a smart engine including a profile collector and a main processing module. The profile collector is configured to store a plurality of profiles, one or more suitable profiles being dynamically selected according to an instruction from a user or an automatic selector. The main processing module is connected to the profile collector and directly or indirectly connected to a sensor, and configured to perform a detailed analysis to determine detailed properties of features, objects, or scenes based on suitable sensor data from the sensor.
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公开(公告)号:US11315586B2
公开(公告)日:2022-04-26
申请号:US17039445
申请日:2020-09-30
发明人: Bing-Han Huang , Chun-Ming Huang , Te-Lung Kung , Hsin-Te Hwang , Yao-Chun Liu , Chen-Chu Hsu , Tsung-Liang Chen
IPC分类号: G10L21/0208 , G10L25/21 , G10L25/30
摘要: A speech enhancement apparatus is disclosed and comprises an adaptive noise cancellation circuit, a blending circuit, a noise suppressor and a control module. The ANC circuit filters a reference signal to generate a noise estimate and subtracts a noise estimate from a primary signal to generate a signal estimate based on a control signal. The blending circuit blends the primary signal and the signal estimate to produce a blended signal. The noise suppressor suppresses noise over the blended signal using a first trained model to generate an enhanced signal and a main spectral representation from a main microphone and M auxiliary spectral representations from M auxiliary microphones using (M+1) second trained models to generate a main score and M auxiliary scores. The ANC circuit, the noise suppressor and the trained models are well combined to maximize the performance of the speech enhancement apparatus.
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