Neural Language Codes for Multilingual Acoustic Models

5 Jul 2018Markus MüllerSebastian StükerAlex Waibel

Multilingual Speech Recognition is one of the most costly AI problems, because each language (7,000+) and even different accents require their own acoustic models to obtain best recognition performance. Even though they all use the same phoneme symbols, each language and accent imposes its own coloring or "twang"... (read more)

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