speech-translation

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

End-to-End Speech Processing Toolkit

Speech To Speech: an effort for an open-sourced and modular GPT4-o

Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

Paper list of simultaneous translation / streaming translation, including text-to-text machine translation and speech-to-text translation.

A realtime speech transcription and translation application using Whisper OpenAI and free translation API. Interface made using Tkinter. Code written fully in Python.

The dataset of Speech Recognition

Cross-platform speech toolset, used from the command-line or as a Node.js library. Includes a variety of engines for speech synthesis, speech recognition, forced alignment, speech translation, voice isolation, language detection and more.

Tracking the progress in end-to-end speech translation

MooER: Moore-threads Open Omni model for speech-to-speech intERaction. MooER-omni includes a series of end-to-end speech interaction models along with training and inference code, covering but not limited to end-to-end speech interaction, end-to-end speech translation and speech recognition.

Zero -- A neural machine translation system

code for paper "Cross-modal Contrastive Learning for Speech Translation" (NAACL 2022)

Code for NeurIPS 2023 paper "DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation".

Repository containing the open source code of works published at the FBK MT unit.

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

List of direct speech-to-speech translation papers.

Code for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".

Source code for ACL 2023 paper "End-to-End Simultaneous Speech Translation with Differentiable Segmentation"