Audio Language Model

Introduction Tencent’s Hunyuan staff has launched Hunyuan-MT-7B (a translation mannequin) and Hunyuan-MT-Chimera-7B (an ensemble mannequin). Each fashions are designed particularly for multilingual machine translation and had been launched along side Tencent’s participation within the WMT2025 Normal Machine Translation shared activity, the place Hunyuan-MT-7B ranked first in 30 out of 31 language pairs. https://github.com/Tencent-Hunyuan/Hunyuan-MT/blob/foremost/Hunyuan_MT_Technical_Report.pdf Mannequin Overview…

Microsoft AI lab formally launched MAI-Voice-1 and MAI-1-preview, marking a brand new section for the corporate’s synthetic intelligence analysis and improvement efforts. The announcement explains how Microsoft AI Lab is getting concerned in AI analysis with none third social gathering involvement. MAI-Voice-1 and MAI-1-preview fashions helps distinct however complementary roles in speech synthesis and general-purpose…

NVIDIA has just released Canary-Qwen-2.5B, a groundbreaking automatic speech recognition (ASR) and language model (LLM) hybrid, which now tops the Hugging Face OpenASR leaderboard with a record-setting Word Error Rate (WER) of 5.63%. Licensed under CC-BY, this model is both commercially permissive and open-source, pushing forward enterprise-ready speech AI without usage restrictions. This release marks…

Mistral AI has released Voxtral, a family of open-weight models—Voxtral-Small-24B and Voxtral-Mini-3B—designed to handle both audio and text inputs. Built on top of Mistral’s language modeling framework, these models integrate automatic speech recognition (ASR) with natural language understanding capabilities. Released under the Apache 2.0 license, Voxtral provides practical solutions for transcription, summarization, question answering, and…

Recent advances in speech enhancement (SE) have moved beyond traditional mask or signal prediction methods, turning instead to pre-trained audio models for richer, more transferable features. These models, such as WavLM, extract meaningful audio embeddings that enhance the performance of SE. Some approaches use these embeddings to predict masks or combine them with spectral data…