3 papers
cs.CL2024
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei +1132
In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over…
eess.AS2024
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data
Takaaki Saeki, Gary Wang, Nobuyuki Morioka +8
Collecting high-quality studio recordings of audio is challenging, which limits the language coverage of text-to-speech (TTS) systems. This paper proposes a framework for scaling a…
cs.SD2023
E3 TTS: Easy End-to-End Diffusion-based Text to Speech
Yuan Gao, Nobuyuki Morioka, Yu Zhang +1
We propose Easy End-to-End Diffusion-based Text to Speech, a simple and efficient end-to-end text-to-speech model based on diffusion. E3 TTS directly takes plain text as input and…