AI Briefing#multilingual
The latest AI and developer news about #multilingual, with the original source and a short summary.
The latest AI and developer news about #multilingual, with the original source and a short summary.
The 26.6B parameter model supports seven languages and offers natural-language control over transcription style and context biasing.
The 131M parameter model supports 6 languages and 14 voices, achieving 30ms warm start on M5 Max and 0.85% WER on the Open TTS Leaderboard.
NVIDIA has released Nemotron 3.5 Transcribe, which supports 40 languages, as open source.
Open-weight model supports 40 languages and speaker diarization, with a 30B parameter architecture using 4B active parameters per token.
The new model uses Eleven v4 Turbo to provide low-latency, expressive voice translation for enterprise customers in alpha.
The update adds new voices in French, German, Hindi, Mexican Spanish, Korean, and Japanese, rolling out to all users today.
The model supports multimodal retrieval across 34 languages for text and 18 for images, with open commercial use rights.
The model achieves a 20.92% average Word Error Rate on Arabic benchmarks, outperforming the previous best published result by 2.25 percentage points.
The family includes specialized models for speech, syllable control, and long-document translation, covering 150 languages.
LiquidAI has released LFM2.5-Encoder-350M and LFM2.5-Encoder-230M, with the 350M variant described as a multilingual bidirectional encoder supporting 15 languages and on-device inference.
The new leaderboard uses objective metrics like WER and RTFx to evaluate open-source TTS models, reducing assessment time from weeks to hours.
Convai Innovations has open-sourced Laya, a non-autoregressive multilingual decision model that classifies states without text generation.
The open-source tool hayamimi has been released, generating real-time multilingual subtitles using only the CPU without GPU dependencies.
A large-scale analysis of reasoning performance and cross-lingual transfer effects in non-English and multilingual environments using GRPO.
Liquid AI has unveiled a technique that expands the vocabulary of the LFM2.5-8B-A1B model from 65K to 128K without retraining from scratch.
NVIDIA has released Nemotron-3-Embed, a multilingual text embedding model optimized for RAG systems.
PaddlePaddle has released PP-OCRv6, a multilingual lightweight OCR model optimized for diverse environments.
Liquid AI has released highly efficient multilingual embedding and ColBERT models to improve RAG performance.
NVIDIA has unveiled Nemotron 3.5 ASR, a roughly 600-million-parameter model that supports 40 languages in real time.
A new approach was unveiled that achieves low-latency multilingual speech recognition by routing single-language models.
It is a technology that achieves high-performance multilingual speech recognition in local environments by routing small monolingual models.
MOSS-TTS-v1.5 is a TTS model with improved multilingual synthesis performance and voice cloning stability.
An Indic corpus spanning 11 languages and 8.4B tokens has been released on Hugging Face.
IBM Granite released 97M and 311M multilingual embedding R2 models under Apache 2.0.