README.md

metadata

title: Textual Echo Cancellation (TEC)
emoji: 🎙️
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
license: apache-2.0
models:
  - wq2012/tec_single_interfering
  - wq2012/tec_multi_interfering
  - wq2012/aec_single_interfering
  - wq2012/aec_multi_interfering
  - wq2012/vanilla_seq2seq_single_interfering
  - wq2012/vanilla_seq2seq_multi_interfering
short_description: Cancel TTS playback echo using source text and compare ASR

Textual Echo Cancellation (TEC) — Interactive Demo

This Space demonstrates Textual Echo Cancellation (TEC) based on the IEEE SLT 2021 paper:

Textual Echo Cancellation Shaojin Ding, Ye Jia, Ke Hu, Quan Wang

• Paper: arXiv:2008.06006
• GitHub Repository: https://github.com/wq2012/tec
• PyPI Package: textual-echo-cancellation (pip install textual-echo-cancellation)
• Pretrained Models: wq2012/tec_single_interfering | wq2012/tec_multi_interfering | wq2012/aec_single_interfering
• Audio Demo Page: https://google.github.io/speaker-id/publications/TEC/

How It Works

1. Upload an audio file containing a microphone mixture (a user speaking while a device is playing back a Text-to-Speech response) or select one of the 4 built-in benchmark examples.
2. Enter the interfering TTS text (the source text of the device's TTS playback) and select a model (TecSingleInterfering, TecMultiInterfering, or AecSingleInterfering).
3. Click Run Textual Echo Cancellation & Compare ASR:
   • Runs ASR on the user uploaded audio file (Before TEC).
   • Runs Echo Cancellation (loading the exact Lingvo checkpoint outputs in examples/sample_1..4_{tec_single,tec_multi,aec_single}.wav generated by generate_examples.py for the built-in benchmark examples, or running an in-browser WebAudio text-conditioned spectral canceller for custom uploaded files).
   • Runs ASR on the Echo Cancelled audio file (After TEC) and prints out the recognition results for both approaches side by side.

(This repository also includes generate_examples.py and the standalone Python Gradio app in app.py + requirements.txt for full Lingvo/TensorFlow checkpoint inference on arbitrary files via python3 app.py.)