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公开(公告)号:US20190115933A1
公开(公告)日:2019-04-18
申请号:US16153474
申请日:2018-10-05
Inventor: Chi-Hao Chen , Hong-Ching Chen , Chun-Ming Huang , Tsung-Liang Chen
Abstract: An acceleration apparatus applied in an artificial neuron is disclosed. The acceleration apparatus comprises an AND gate array, a first storage device, a second storage device and a multiply-accumulate (MAC) circuit. The AND gate array with plural AND gates receives a first bitmap and a second bitmap to generate an output bitmap. The first storage device stores a first payload and outputs a corresponding non-zero first element according to a first access address associated with a result of comparing the first bitmap with the output bitmap. The second storage device stores a second payload and outputs a corresponding non-zero second element according to a second access address associated with a result of comparing the second bitmap with the output bitmap. The MAC circuit calculates a dot product of two element sequences from the first storage device and the second storage device.
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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
Inventor: Bing-Han Huang , Chun-Ming Huang , Te-Lung Kung , Hsin-Te Hwang , Yao-Chun Liu , Chen-Chu Hsu , Tsung-Liang Chen
IPC: G10L21/0208 , G10L25/21 , G10L25/30
Abstract: 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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公开(公告)号:US11068775B2
公开(公告)日:2021-07-20
申请号:US15910404
申请日:2018-03-02
Inventor: Hong-Ching Chen , Chun-Ming Huang , Chi-Hao Chen , Tsung-Liang Chen
Abstract: A processing apparatus applied in an artificial neuron is disclosed. The processing apparatus comprises a parser, a lookup array, a summing circuit and a MAC circuit. The parser parses one of M packets to extract a non-zero weight value from a header of the one packet, to identify a plurality of bit positions with a specified digit from a payload of the one packet, and to output the non-zero weight value and the bit positions in parallel. The lookup array contains N synapse values and is indexed by the bit positions in parallel to generate a plurality of match values. The summing circuit sums up the match values to generate a sum value. The MAC circuit generates a product of the non-zero weight value and the sum value, and generates an accumulate value based on the product and at least one previous accumulate value.
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