Large Vocabulary Continuous Speech Recognition - Berlin Chen
Large Vocabulary Continuous Speech Recognition - Berlin Chen
Large Vocabulary Continuous Speech Recognition - Berlin Chen
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WC: Pruning of Path Hypotheses (2/5)• Pruning Techniques1. Standard Beam Pruning (Acoustic-level Pruning)• Retain only hypotheses with a score close to the best hypothesis⎡⎤ThrAC() t = ⎢ max Q n −1( t , s;arc ) × fn −1AC( v s arc )v⎥1⎣ 1 , ,⎦Q t,s;arc < Thr t ⇒v1n ⎡⎤LM() t = ⎢ max Q n −1( t , S ; arcB) × fn −1LM( v S arc )v0 ⎥⎣ , 0 , B 11⎦( ) ( ) pruned!2. Language Model Pruning (Word-level Pruning)• Applied to word-end or tree start-up hypothesesThr−1( ) ( ) pruned!ACQ− 1v1nt, S0; arcB
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