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)

End-to-End Speech Processing Toolkit

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.

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.

The dataset of Speech Recognition

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

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

Zero -- A neural machine translation system

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.

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

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

This repository contains the data resources for the LacunaFund supported project, Multimodal datasets for the Bemba Language of Zambia.

Code for ACL 2024 main conference paper "Can We Achieve High-quality Direct Speech-to-Speech Translation Without Parallel Speech Data?".

🖍️ This project combines multiple operations in Microsoft Azure Cognitive Services into one GUI, including QnA Maker, LUIS, Computer Vision, Custom Vision, Face, Form Recognizer, Text To Speech, Speech To Text and Speech Translation. It's very user-friendly for users to implement any operation mentioned above.

Code for the INTERSPEECH 2023 paper "Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models"

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

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