Motivation & Project Description 

•  New model training algorithms for distant speech
  • Training using noise reduction algorithms and normalizing transforms
  • Context clustering for room acoustics
  • Non-native, multi-lingual and cross-lingual speech processing

• Meta data extraction on distant, telephone, and wideband speech
  • ID, age, gender, emotion, channel, language, socio-economic status
  • Online acoustic change detection
  • Speaker detection, clustering and adaptation

• In-house ASR system as benchmark for external suppliers

Expected Outcome:

• Janus-based ASR modules using 16kHz English distant-speech AMs
• Janus-based Inspire recognizer
• Janus-based ASR for Ivistar info displays (with VCE)
• Meta-data extraction modules and integration with Janus Recognition Toolkit