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We present two end-to-end models: Audio-to-Byte (A2B) and Byte-to-Audio(B2A), for multilingual speech recognition and synthesis. Prior work haspredominantly used characters, sub-words or words as the unit of choice tomodel text. These units are difficult to scale to languages with largevocabularies, particularly in the case of multilingual processing. In thiswork, we model text via a sequence of Unicode bytes, specifically, the UTF-8variable length byte sequence for each character. Bytes allow us to avoid largesoftmaxes in languages with large vocabularies, and share representations inmultilingual models. We show that bytes are superior to grapheme charactersover a wide variety of languages in monolingual end-to-end speech recognition.Additionally, our multilingual byte model outperform each respective singlelanguage baseline on average by 4.4% relatively. In Japanese-Englishcode-switching speech, our multilingual byte model outperform our monolingualbaseline by 38.6% relatively. Finally, we present an end-to-end multilingualspeech synthesis model using byte representations which matches the performanceof our monolingual baselines.

Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes