High Definition AEC Hardware Reference Design

High fidelity, near-field two-way audio C5517 DSP reference design: TIDA-01589 

Features the High-Definition Acoustic Echo Canceller (HD AEC™)

The TIDA-01589 reference design demonstrates dual microphones for audio input via stereo ADC, low-power DSP performing noise reduction, acoustic echo cancellation, beamforming, and automatic gain control audio quality enhancement algorithms.

Fast-Fact Demo Specs

Audio Algorithms: HD AEC, NR, Beamforming, and AGC

HD AEC Echo Tail – 128msec

Mips – Total AEC+NR+BF < 160 MIPS

Memory –  Total Memory (Data + Program) fits into internal 5517 RAM 

Audio – 16 kHz sample rate, 16-bit linear sample

TIDA-01589 High fidelity, near-field two-way audio reference design
About Texas Instruments TIDA-01589​

TIDA-01589 features multi-microphone capable advanced audio processing algorithms from Adaptive Digital Technologies running on C5517 DSP such as beamforming, adaptive spectral noise reduction, acoustic echo cancellation, anti-howling, adaptive filtering, nonlinear processing, and double talk detection to produce a high-quality, full-duplex communication. This design also provides a scalable platform for implementing new features like voice activation, speech recognition and directional of arrival (DOA) of sound. TI has a suite of silicon and third party based software algorithms, from the analog front end to processed speech output that you can integrate into a complete yet efficient solution for a given application. http://www.ti.com/tool/tida-01589

About Adaptive Digital Voice Enhancement Algorithms​

Adaptive Digital uses voice enhancement algorithms that recognize the dominant voice and suppress background ambient noise. The Near-field audio processing software first detects speech, then reduces the clutter in the voice stream so that the voice input application can send a clear voice signal.

Adaptive Digital’s High Definition Acoustic Echo Canceller (HD AEC) is exceptional at handling echo. HD AEC delivers superior voice clarity and true full duplex performance under a wide set of challenging acoustic environments. It can eliminate the acoustic echo in difficult conditions such as unbalanced speech levels, close speaker to mic proximity, background noise, double talk, echoic reflective room surfaces, and echo path changes. The HD AEC algorithm integrates both Noise Reduction, and Automatic Gain Control (AGC), as well as anti-howling, adaptive filtering, nonlinear processing, and double-talk detection.

Beamforming software improves the signal to noise ratio of speech signals by exploiting the phase arrivals of the speech at each microphone. The beamforming algorithm causes the microphone gain to be maximum in the direction voice of the near-field speaker. By increasing the gain in that direction while reducing the gain in the direction of the reflective paths, the signal-to-interferer ratio is increased, which reduces the reverb effect. Acoustic beamforming software is attached as a pre-processor.

The difference in location to the microphone will affect the intensity of the voice signal, and as with any human element such as speech, there are many differentiations of intensity, deep or high pitched, soft or loud in volume. A gain level adjusting algorithm (AGC) is applied to the voice signal to adjust the signal to a consistent level no matter the intensity level of the original voice stream.

TIDA-01589 features Adaptive Digital’s multi-microphone capable  HD AEC, and includes beamforming, noise reduction, anti-howling, adaptive filtering, nonlinear processing, and double talk detection to produce a high-quality, full-duplex real-time communication between two participants.

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HD AEC on TI DSPs

Specifications: Audio algorithms running on C5517™ DSP

MIPS and Memory Usage Data

MIPS and memory usage data algorithms running on C5517 DSP
All memory usage and instance data given in bytes
DSP AlgorithmMIPSProgram MemoryData MemoryMemory TotalInstance SizeNumber InstancesInstance Total
Fixed Beamformer9.2 Avg | 9.3 Peak68443447188136022720
Noise Reduction13.2 Avg | 13.5 Peak742919269355488629772
HD AEC113.1 Avg | 131.1 Peak54617116086622567120167120
Full DSP Application136.6 Avg | 157.3 Peak308142

HD AEC™ Signal Flow on TIDA-01589 Hardware

HD AEC High Fidelity Audio Reference design

The figure above shows a diagram with the signal flow for this application. The “near side” participant’s voice is input through the 2-mic array on MIC board and sampled at 16-kHz (wideband) rate by the TLV320ADC3101 low-power stereo ADC. Digital PCM audio samples are passed from the audio ADC to the TMS320C5517 DSP over I2S where beamforming (BF) is performed and the HD AEC™ is running.
Processed (clean) audio samples from DSP are passed as PCM data over I2S to the BeagleBone Black Wireless (BBB-W). BBB-W is used to tie in the “far side” participant and provides audio playback over USB to a headset attached to it. A microphone in the headset of the far-side participant will take voice input and pass it via BBB-W to the DSP over I2S interface.
The DSP application provides a clean audio signal to TAS2557 over I2S which drives micro-speaker attached to the DSP board. TAS2557 features an ultra-low noise digital-to-analog converter (DAC) and Class-D power amplifier with speaker voltage and current sensing feedback. An on-chip DSP provides speaker protection algorithms, tuned to the micro-speaker for maximizing audio output while maintaining safe speaker operation.

The algorithms and processing written by Adaptive Digital Technologies for this demonstration correct for the problems that are found in microphone array and loud-speaker applications. Beamforming (BF), noise reduction (NR) and adaptive filtering algorithms focus the processing system on speech as the critical audio signal, and filter out other high-frequency and low-frequency signals in the environment. Non-linear processing helps account for the artifacts introduced by the acoustic characteristics of the system. HD AEC is responsible for removing the echo coming from the 2-way real-time nature of the communication. Anti-howling and double talk detection work to balance audio signals, remove jitter in the transmitted signal and improve the overall quality of the final signal.

The HD AEC features very fast convergence, and demonstrates virtually no audio artifacts being transmitted based on a changing environment on the near-side. The HD AEC handles echo tails of up to 128 ms. A long echo tail allows the echo canceller to listen longer for audio reflections to remove. Short tail lengths mean a greater likelihood that acoustic echoes will be transmitted. Being a programmable DSP-based solution, the HD AEC is customizable for shorter or longer tail lengths (based on available processing resources) to more accurately suit the system environment.

HD AEC Features List

  • True full-duplex operation under a wide dynamic range of audio levels, even when microphone input signal is weak
  • Programmable sampling rate, supporting narrowband (8 kHz), and wideband (16 kHz) (rates limited due to C5517 memory and CPU )
  • Improved adaptive nonlinear processor
  • Handles echo tails of up to 128 msec. (C5517 demo default setting), with full-duplex cancellation. HD AEC algorithm is capable of handling tail lengths in excess of 500 msecs.
  • Spectrally representative comfort noise generator
  • Automatically adjusts for unknown bulk (buffering/audio driver) delay
  • Able to handle strong echo (speaker to microphone gains up to 20 dB)
  • Anti-Howling
  • Instantly adjusts to user-controlled speaker gain changes
  • Handles external user-controlled volume changes
  • Parameters are user configurable
  • Improved fast convergence and reconvergence
  • No divergence during double-talk
  • Integrated Automatic Gain Control (AGC)
  • Improves speech recognition performance in an echoic environment.
  • Integrated Noise Reduction (NR)
  • Integrated Transmit Equalization

Click here to view HD AEC CPU Usage and Memory Requirements: Texas Instruments’ TMS320C6000, TMS320C5000 | Arm Architectures (v5, v6, v7-A/R, Armv7E-M, Armv8-A, Armv8-R) | Linux 32-bit/64-bit | Windows x86 / x64.

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