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A pull request to llama.cpp adds Nemotron 3.5 Transcribe support in the mtmd (multimodal) module, extending the library's audio transcription capabilities.
balbal-v2 releases two CPU-efficient Turkish speech recognition models (313M and 45M params, CTC + KenLM) trained for under $250, ranking 2nd on the Mu-Bench TR benchmark behind Google Chirp 3 while running at up to 236x real time on modest hardware.
The developer of Subtitle Foundry explains why keeping ASR, translation, and timing errors separately inspectable matters in a subtitle pipeline, even when using SOTA speech and language tools. The post outlines three distinct checks, evaluation practices across providers (including ElevenLabs Scribe v2 word timestamps), and links the AGPL-3.0 project.
该论文提出 Grounded Generative Speech Recognition (GSR) 新范式，将语音识别重新定义为生成语义有据的文本而非单一转录，并发布 GSR-Bench 基准与多维评估框架，揭示了转录保真度与生成重构能力之间的权衡及常见失败模式。
Arc-Transcriber is a ~70MB streaming speech model that performs ASR and NER/entity-linking in a single step, outputting transcripts, linked names, numbers, speaker roles, and audio events every 100ms via trained heads on a shared encoder, eliminating the usual multi-model pipeline. Two variants (Arc mini and Arc-v1) are released with weights on Hugging Face and code on GitHub.
Granola launched a dictation feature for Mac that cleans up and formats speech across all apps, competing with Wispr as voice AI startups converge on combined notetaking and dictation tools, with iOS and Windows versions coming soon.
ServiceNow 释放了 Apriel Voice 27B 预览版，一个基于 Gemma 4 骨干的开源语音-推理-工具调用模型，支持语音理解、多模态上下文和函数调用，可搭配外部语音合成器构建语音助手。
IBM releases Granite Switch 4.1.1, a backwards-compatible patch update to its modular Switch architecture that adds an updated multilingual Granite Speech ASR model and an improved Decision adapter without retraining the base model.
VoxLock 是一个无需注册步骤的因果性目标说话人提取模型，通过微调 REAL-TSE 实现，在真实录音上达到接近商业级的语音识别精度（Krisp 基准 WER 4.95%），且 CPU 占用和延迟极低，模型与代码均已开源。
Deepgram's new Flux TTS targets a critical accuracy bottleneck in voice-agent pipelines, achieving a 3.4% word error rate on tricky alphanumeric strings like medication names and tracking numbers while preserving natural-sounding speech through the full voice loop.
A zero-retraining REAP-pruned derivative of NVIDIA's Nemotron-3.5-Transcribe-30B-A4B speech LLM shrinks it from 67.5GB to 10GB (4-bit) while keeping WER at 5.16% vs the teacher's 4.12%, and it runs 27% faster in single-stream throughput on an H200 with vLLM.
NVIDIA announced new RTX Spark thin-and-light laptops from major OEMs alongside the open-weight Nemotron 3.5 Transcribe speech model, GPU resource management tools for agents, and new game support with DLSS 4.5 and path tracing.
Nvidia 发布了免费开源权重语音转写模型 Nemotron 3.5 Transcribe（30B 参数，支持 40 种语言）以及 Granary 开源语音数据集 v2，瞄准会议记录和医疗转写等企业应用场景。该模型声称在 Open ASR 等基准上超越竞争对手，且可在单芯片上运行。
提出一个基于LLM代理的多语言ASR数据采样框架，通过语言学感知的错误驱动优化在12种Common Voice语言上以更少数据和算力超越全数据训练效果，并显著加速收敛。
RoleHear is a semi-supervised pipeline that enables a single cache-aware streaming transducer to emit speaker roles inline via lightweight in-vocabulary role tokens, using an offline teacher for pseudo-labeling and an LLM for silver role labels on unlabeled audio.
CHiME-3 背景噪音录音现已在 Zenodo 上以 CC BY 4.0 协议开放提供，包含六通道平板阵列在公交、咖啡馆、步行区和街道四种真实环境中录制的 16 kHz 音频，允许商用及再分发。
该论文提出了 OmniLingual-MsASR，一个多语言、多模态、长时序多人说话的自动语音识别基准，用于评测 omni 大模型在音视频跨模态转写中的能力上限，并揭示了当前模型在时序定位、说话人消歧和跨模态协同方面的显著瓶颈。
KIRA 是一个面向儿童早期阅读筛查的全栈系统，结合词级流利度评分与音素级错误检测的双通路分析，将儿童语音识别的词错误率从 13.88% 降至 8.84%、音素错误率从 41.66% 降至 23.00%，并配套教师端 Web 界面以支持课堂部署与针对性干预。
This paper evaluates the 305M-parameter Gemma 4/EmbeddingGemma 2 speech encoder on Saudi and Gulf Arabic ASR without modifying its weights, comparing a frozen CTC reader and an adapter-augmented system against Cohere Transcribe Arabic and other baselines, showing competitive CER and strong efficiency gains. Code and results are publicly released.