A gamma-pass filter bank chip system supporting real-time speech decomposition/synthesis

Abstract

The invention puts forward a Gammatone filter bank chip system supporting voice real-time decomposition / synthesis, and belongs to the field of digital circuit design. The system comprises five parts, namely, an input module, a parameter module, a control module, a calculation module, and an output module. The input module activates the control module after receiving a frame of voice data, adjusts the delay of each channel according to the delay of human ear basilar membranes on different sub-bands, and sends the voice data to the control module. The control module makes the parameter module read the parameters of the corresponding channels and transmit the parameters to the calculation module. The calculation module completes the Gammatone filtering algorithm of each channel, and saves the result to the output module. After the calculation module completes calculation of all the channels of the frame of voice data, the output module allows the stored data to be read externally. With the system, the number of clocks consumed for calculation of channels is reduced, and less power is consumed. A parameter configurable function is realized, and the parameters of the system can be adjusted flexibly according to the need. Voice decomposition and synthesis is realized.

Description

technical field [0001] The invention belongs to the field of digital circuit design, and in particular relates to a gamma-pass filter bank chip system supporting real-time voice decomposition / synthesis. Background technique [0002] In the field of hearing research, auditory filters are usually used to simulate the perception process of the human ear, especially the basilar membrane, and the Gammatone Filter (GTF) is widely used because it is more in line with the filtering characteristics of the basilar membrane. The processing of speech by the human ear can be simulated with a set of gamma-pass filters that mimic the processing of the human ear by decomposing speech into different subbands. [0003] In the application, a major bottleneck encountered by the Gammatone Filterbank (GTFB) is the high computational complexity, although with the increasing computing power of the processor, this problem may be solved in the near future , but on mobile devices such as mobile phone...

AI Technical Summary

Problems solved by technology

[0010] 1. The above system requires 4 states for each calculation of a channel, and each state contains 7 clock cycles. In this way, when the input speech sampling rate f s When the frequency is 16KHz and the number of channels M is 128, the main frequency is as high as 57.3M. Considering other overheads, the actual application requires a clock of more than 80MHz, resulting in excessive power consumption, which does not meet the requirements of low power consumption in mobile devices. Cannot handle higher sample rate, better quality speech

[0011] 2. The parameters of the above system are stored in ROM. Once the parameters are set, the system cannot be changed, which greatly limits the flexibility and repeatability of the chip.

[0012] 3. In the calculation process of the above system, the data of each channel of each point is calculated sequentially. Since the parameters and intermediate calculation results used by each channel are different, each time the data of a channel is calculated, it needs to be read from the RAM and Store a large amount of data, resulting in frequent access to RAM, increasing power consumption, and also brings difficulties to layout and wiring in chip implementation

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