NagaTranslate: Building a translation and voice pipeline for low-resource Nagaland creoles (Whisper, VITS, LLMs) [P]
Summary
Introduces NagaTranslate, a pipeline for translation and voice synthesis for low-resource Nagaland creoles using Whisper, VITS, and LLMs.
Similar Articles
A Speech Corpus for Mizo Automatic Speech Recognition: Whisper and SraVaani 1.0 Fine-Tuning with Morphology-Aware Evaluation
This study develops an Automatic Speech Recognition system for Mizo, a low-resource language, by fine-tuning Whisper and SraVaani 1.0 models, achieving a morphology-aware WER of 7.22% with Whisper-large-v3.
Itgan at NADI 2026 shared task: Parameter-Efficient Whisper Adaptation for Robust, Mixed-Dialect and Code-Switched Arabic ASR
The Itgan team describes a unified Whisper+LoRA recipe adapted for the three NADI 2026 Arabic ASR subtasks, showing that per-dialect specialists, base-model choice, and training-free weight averaging each dominate for different subtasks rather than any single novel component.
I built an open-source real-time Japanese anime subtitle & translation engine powered by Whisper-Large-v3 + Groq / DeepSeek
NihonSub is an open-source real-time Japanese anime subtitle and translation engine combining Whisper-Large-v3 on Groq with DeepSeek/LLaMA-3 for contextual bilingual subtitles, featuring VAD-based audio chunking, honorific-preserving LLM translation, and a synchronized dual-subtitle cinema player.
How we achieved 20 concurrent low-latency regional voice agents on a single L4 GPU using Pipecat and a fine-tuned TTS
A team shares how they built a production voice-agent stack using self-hosted Pipecat, Mai Transcribe 2, a Sarvam conversational LLM, and a Malayalam fine-tuned VoxCPM2 TTS, achieving 20 concurrent low-latency voice streams on a single L4 GPU with an automated WhatsApp post-call handoff.
Neural Machine Translation for Low-Resource Tangkhul--English
Presents a neural machine translation system for the severely under-resourced Tangkhul–English language pair, achieving strong BLEU, chrF++, BERTScore, and COMET scores using fine-tuned ByT5-large and mT5-small models.