Implementing SRI's Pashto speech-to-speech translation system on a smart phone

Implementing SRI's Pashto speech-to-speech translation system on a smart phone

We describe our recent effort implementing SRI's UMPC-based Pashto speech-to-speech (S2S) translation system on a smart phone running the Android operating system. In order to maintain very low latencies of system response on computationally limited smart phone platforms, we developed efficient...

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Hauptverfasser: Jing Zheng, Mandal, A, Xin Lei, Frandsen, M, Ayan, N F, Vergyri, D, Wen Wang, Akbacak, M, Precoda, K
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Android
Data models
Decoding
Hidden Markov models
Memory management
mobile computing
smart phone
Smart phones
Speech recognition
speech-to-speech translation
Training data
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Zusammenfassung:We describe our recent effort implementing SRI's UMPC-based Pashto speech-to-speech (S2S) translation system on a smart phone running the Android operating system. In order to maintain very low latencies of system response on computationally limited smart phone platforms, we developed efficient algorithms and data structures and optimized model sizes for various system components. Our current Android-based S2S system requires less than one-fourth the system memory and significantly lower processor speed with a sacrifice of 15% relative loss of system accuracy, compared to a laptop-based platform.
DOI:10.1109/SLT.2010.5700835