speech-llms

Here are 5 public repositories matching this topic...

EmulationAI / awesome-large-audio-models

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

music-information-retrieval automatic-speech-recognition speech-to-text audio-processing music-ai music-processing large-language-models foundational-models speech-ai audio-ai large-audio-models speech-llms large-language-model-speech

Updated Aug 8, 2026

georgygospodinov / speech_course

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Deep Learning for Speech

deep-learning tts speech-recognition speaker-recognition keyword-spotting asr self-supervised-learning speech-llms

Updated Oct 15, 2026
Jupyter Notebook

ictnlp / LSG

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The code for AAAI 2025 “Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation”

machine-translation speech transformers speech-to-text asr simultaneous-translation large-language-models simultaneous-machine-translation text-to-text text-to-text-generation speech-llms streaming-generation qwen-audio

Updated Jan 3, 2025
Python

ictnlp / FastLongSpeech

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FastLongSpeech is a novel framework designed to extend the capabilities of Large Speech-Language Models for efficient long-speech processing without necessitating dedicated long-speech training data.

speech speech-recognition speech-to-text multi-modal speech-processing spoken-language-understanding speech-emotion-recognition large-language-models llms llm-training qwen speech-llms large-speech-models multi-modal-llms qwen2-5 spoken-dialogue-models

Updated Jul 22, 2025
Python

Telefonica-Scientific-Research / flower_speech_llm

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Federated learning for Speech LLMs (WavLM+TinyLlama & Voxtral) with Flower and PyTorch Lightning. LoRA fine-tuning across MLS clients with FedAvg/FedProx, IID and speaker-based partitioning, per-round LR decay, W&B logging, and multi-GPU Ray simulation. Only adapter weights are shared — raw audio never leaves the client

speech federated-learning end-to-end-speech-recognition llms speech-llms

Updated Aug 10, 2026
Shell

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