Qwen announced Qwen-Audio-3.1, a fully upgraded audio stack covering ASR, TTS, and Realtime, joined by two new models: TTS-Next for audio creation and ASR-Next for audio understanding. The release spans five models intended to cover understanding, generation, interaction, and creation, with price cuts across the lineup. For practitioners, it consolidates speech recognition, synthesis, and realtime interaction into a single vendor stack.
A developer mapped the shared building blocks of 100+ audio models in the audio.cpp collection and found Qwen-family architectures are by far the most common language backbone. 32 audio model families use Qwen, and 20 of those use Qwen3 specifically. The trend extends beyond TTS into ASR, music generation, speech-to-speech, and audio/video models, signaling Qwen's role as de facto infrastructure for audio AI.
A developer mapped the shared building blocks of 100+ audio models in the audio.cpp collection and found Qwen-family architectures are by far the most common language backbone. 32 audio model families use Qwen, and 20 of those use Qwen3 specifically. The trend extends beyond TTS into ASR, music generation, speech-to-speech, and audio/video models, signaling Qwen's role as de facto infrastructure for audio AI.
SupraLabs released SupraTTS-0.1-Beta, a ~29.6M-parameter text-to-speech model built on the Glow-TTS architecture. The team reports slightly better audio quality than original Glow-TTS at the same size, targeting edge devices and CPU inference. The model is available on Hugging Face with roadmap items including zero-shot voice cloning.
SupraLabs released SupraTTS-0.1-Beta, a ~29.6M-parameter text-to-speech model built on the Glow-TTS architecture. The team reports slightly better audio quality than original Glow-TTS at the same size, targeting edge devices and CPU inference. The model is available on Hugging Face with roadmap items including zero-shot voice cloning.
Fusion-runtime is an open-source runtime for building self-hosted voice agents that combine speech-to-text, an LLM, and text-to-speech in a single process. The LLM serves as the conversational reasoning layer between transcription and speech synthesis. It targets developers who want voice agents without depending on external cloud APIs or multiple separate services.
Fusion-runtime is an open-source runtime for building self-hosted voice agents that combine speech-to-text, an LLM, and text-to-speech in a single process. The LLM serves as the conversational reasoning layer between transcription and speech synthesis. It targets developers who want voice agents without depending on external cloud APIs or multiple separate services.
Hugging Face released Transformers v5.16.0, adding support for Qwen4-Exp, a hybrid text and multimodal architecture built on Qwen3.5. The model introduces three novel components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE). These innovations aim to improve efficiency and performance in large-scale models.
Hugging Face released Transformers v5.16.0, adding support for Qwen4-Exp, a hybrid text and multimodal architecture built on Qwen3.5. The model introduces three novel components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE). These innovations aim to improve efficiency and performance in large-scale models.
Google released Lyria 3.5, its latest music generation model, within Google Flow Music. The update brings richer melodic structures, higher-quality lyrics with better prompt adherence, and enhanced vocal quality, giving users more creative control.
Google released Lyria 3.5, its latest music generation model, within Google Flow Music. The update brings richer melodic structures, higher-quality lyrics with better prompt adherence, and enhanced vocal quality, giving users more creative control.