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H93-1109.pdf
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🔗 Source: aclanthology.org
📊 Size: 85 KB
👤 Author: Vassilios Digalakis; Hy Murveit; Mitch Weintraub
⬇️ Downloads: 54

Summary

The project aims to develop acoustic modeling techniques for speech recognition, focusing on relaxing hidden Markov model's independence assumptions. Recent results include a software library for HMM recognition systems, a new search strategy called Progressive Search, a continuous output distribution system, and new algorithms for local consistency. The project achieved a 31% reduction in error rate and plans to continue exploring trade-offs in parameter tying, modeling global consistencies, and developing search techniques for real-time demonstrations.

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Description

The project aims to develop acoustic modeling techniques for speech recognition, focusing on relaxing hidden Markov model's independence assumptions.

Technical Information

  • File Format: PDF
  • File Size: 85 KB
  • Pages: 1
  • Language: EN
  • Author: Vassilios Digalakis; Hy Murveit; Mitch Weintraub
  • Total Downloads: 54
  • Last Updated: 1 month ago

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