Popular GitHub Repositories for Spoken Digits

A PyTorch-based Speech Toolkit

End-to-End Speech Processing Toolkit

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

an editor for spoken-word audio with automatic transcription

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

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

On-device Speech-to-Intent engine powered by deep learning

A free audio dataset of spoken digits. An audio version of MNIST.

MOSS-TTSD is a spoken dialogue generation model that enables expressive dialogue speech synthesis in both Chinese and English, supporting zero-shot multi-speaker voice cloning, and long-form speech generation.

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

A Survey of Spoken Dialogue Models (60 pages)

Allows you to have an engaging and safely emotive spoken / CLI conversation with the AI ChatGPT / GPT-4 while giving you the option to let it remember things discussed.

Tracking the progress in end-to-end speech translation

Official repository of DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech, ICASSP 2023

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words into written text, ready to be pasted wherever you need it. This application harnesses the power of OpenAI’s Whisper for free.

AI-powered digital picture frame. Generate captivating and unique art from spoken conversations.