#Speech-processing
Showing 35 of 35 repositories tagged #speech-processing, ranked by stars
A PyTorch-based Speech Toolkit
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Reading list for research topics in multimodal machine learning
Become a cracked AI/ML Research Engineer
Foundation Architecture for (M)LLMs
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Controllable and fast Text-to-Speech for over 7000 languages!
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
SincNet is a neural architecture for efficiently processing raw audio samples.
A Framework for Speech, Language, Audio, Music Processing with Large Language Model
Verbatim Automatic Speech Recognition with improved word-level timestamps and filler detection
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
A neural network for end-to-end speech denoising
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Tracking the progress in non-autoregressive generation (translation, transcription, etc.)
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
Tracking the progress in end-to-end speech translation
A React-Native Bridge for the Google Dialogflow (API.AI) SDK
Identify the emotion of multiple speakers in an Audio Segment
Pytorch implementation of subband decomposition
A neural network framework for researchers studying acoustic communication
Emotion recognition by speech in android.
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
《SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks》Speech processing with prompting paradigm
Discriminative Neural Clustering for Speaker Diarisation
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
iOS application for finding formants in spoken sounds
a Wide Shelf for AI and Data Science | Resources 🍔
Spokestack: give your React Native app a voice interface!
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob
Neural speaker recognition/verification system based on Kaldi and Tensorflow
Study Guide for the AI-102: Designing and Implementing a Microsoft Azure AI Solution Exam