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What is ANN

ANN(Audio Neural Network) is the latest modeling technology from Sinco’s research

team.

As well known, the overwhelming majority methods of nonlinear modeling can be divid

ed into two ways which is so called White box and Black box. Even the method based on

Neural Network(AI) has been introduced into nonlinear modeling in the last decade.

Each theories has its own advantages and disadvantages. The ANN take advantages of

each theories’ strengths, and it delivers more dynamic, deep, fully tonal feel.

ANN(Audio Neural Network) take advantages of each theories’ strengths. We introduce

the Sinco in-house Waveform Automatic Nonlinear Tracking(WANT) algorithm to learn

the dynamic range characteristic as precise as possible. We have tested the model ability

on KPS 5150 AMP at high gain.

Top. Original signal Mid. Modeling signal Bot. Target signal

As the figure shown above, the dynamic range of first sweeping signal has highly fitted.

The time domain pointwise tracking ability of ANN is also be guaranteed by the using of

simplified WaveNet-Style model. The figure shown below is the distortion at 62.5hz.

Lastly, in order to handling high frequency harmonic component, we introduce the Sinco

in-house High Harmonic Automatic Generation(HHAG) algorithm to make signal to be

well-stacked at high frequency area.

As the figure shown above, the target signal is marked as blue line, non-HHAG modeling

signal marked as green and HHAG modeling signal marked as pink. It is obvious that

HHAG has more high frequency harmonic response 11Khz(half the Nyquist Frequency)

above and is more close to target signal in frequency domain. Despite the possibility of

phase distortions caused by HHAG, we can just ignore these in perspective of human