The HW-TSC’s Speech To Speech Translation System For IWSLT 2022 Evaluation.pdf

2022.iwslt-1.26.pdf
Preview of The HW-TSC’s Speech to Speech Translation System for IWSLT 2022 Evaluation
🔗 Source: aclanthology.org
📊 Size: 185 KB
📄 Pages: 5 pages
⬇️ Downloads: 67

Summary

The HW-TSC's Speech to Speech Translation System for IWSLT 2022 uses a cascade system consisting of an ASR model, machine translation model, and TTS model to convert speech from English to German. The ASR part uses an ensemble of multiple heterogeneous ASR models and performs reranking on beam candidates to improve performance. A context-aware reranking strategy and MT model fine-tuned on the in-domain dataset are used to mitigate inconsistencies in transcripts. The VITS model is used to reproduce audio files from the translation hypothesis.

Description

The HW-TSC's Speech to Speech Translation System for IWSLT 2022 uses a cascade system consisting of an ASR model, machine translation model, and TTS model to...

Technical Information

  • File Format: PDF
  • File Size: 185 KB
  • Pages: 5
  • Language: EN
  • Total Downloads: 67
  • Last Updated: 1 month ago

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