Research on speech recognition, text-to-speech, audio processing, and voice AI technologies.
Hangrui Hu, Xinfa Zhu, Ting He +13 more
In this report, we present the Qwen3-TTS series, a family of advanced multilingual, controllable, robust, and streaming text-to-speech models. Qwen3-TTS supports state-of-the-art 3-second voice cloning and description-based control, allowing both the creation of entirely novel voices and fine-graine...
Thanathai Lertpetchpun, Yoonjeong Lee, Thanapat Trachu +4 more
Many spoken languages, including English, exhibit wide variation in dialects and accents, making accent control an important capability for flexible text-to-speech (TTS) models. Current TTS systems typically generate accented speech by conditioning on speaker embeddings associated with specific acce...
Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim +13 more
Phone recognition (PR) serves as the atomic interface for language-agnostic modeling for cross-lingual speech processing and phonetic analysis. Despite prolonged efforts in developing PR systems, current evaluations only measure surface-level transcription accuracy. We introduce PRiSM, the first ope...
Warit Sirichotedumrong, Adisai Na-Thalang, Potsawee Manakul +3 more
Large encoder-decoder models like Whisper achieve strong offline transcription but remain impractical for streaming applications due to high latency. However, due to the accessibility of pre-trained checkpoints, the open Thai ASR landscape remains dominated by these offline architectures, leaving a ...
Tanyu Chen, Tairan Chen, Kai Shen +4 more
Recent end-to-end spoken dialogue systems leverage speech tokenizers and neural audio codecs to enable LLMs to operate directly on discrete speech representations. However, these models often exhibit limited speaker identity preservation, hindering personalized voice interaction. In this work, we pr...
