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Found 5 papers, 3 papers with code
Kanana: Compute-efficient Bilingual Language Models
We introduce Kanana, a series of bilingual language models that demonstrate exceeding performance in Korean and competitive performance in English.
FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs
This study investigates language models' generative capabilities in tool-use dialogs.
Intelli-Z: Toward Intelligible Zero-Shot TTS
Zero-shot TTS demands additional efforts to ensure clear pronunciation and speech quality due to its inherent requirement of replacing a core parameter (speaker embedding or acoustic prompt) with a new one at the inference stage.
JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech
In neural text-to-speech (TTS), two-stage system or a cascade of separately learned models have shown synthesis quality close to human speech.
Pitchtron: Towards audiobook generation from ordinary people's voices
To deal with this issue, we propose two models, hard and soft pitchtron and release the toolkit and corpus that we have developed.
