1764 Open source projects that are alternatives of or similar to Audio Pretrained Model

Distributed Keras Engine, Make Keras faster with only one line of code.

PyTorch to Keras model convertor

PyTorch to Keras model convertor

A MXNet implementation of Baidu's DeepSpeech architecture

SincNet is a neural architecture for efficiently processing raw audio samples.

Speech recognition module for Python, supporting several engines and APIs, online and offline.

A library for real-time voice processing in web browsers

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Tensorflow Implementation of Yahoo's Open NSFW Model

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Novoic's audio feature extraction library

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

A free audio dataset of spoken digits. Think MNIST for audio.

⚡️ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

speech to text benchmark framework

C++ Library for Audio Digital Signal Processing

Syn.Speech is a flexible speaker independent continuous speech recognition engine for Mono and .NET framework

Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.

On-device speech-to-intent engine powered by deep learning

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

Largest list of models for Core ML (for iOS 11+)

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Phonetisaurus G2P

A shazam like tool to store songs fingerprints and retrieve them

On-device streaming speech-to-text engine powered by deep learning

Auto-Editor: Effort free video editing!

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

语音api示例

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

C library for generating audio fingerprints used by AcoustID

💬 /so.nus/ STT (speech to text) for Node with offline hotword detection

🎵 [Android Library] A light-weight and easy-to-use Audio Visualizer for Android.

Keras implementation of a ResNet-CAM model

Adapt Intent Parser

FFME: The Advanced WPF MediaElement (based on FFmpeg)

Setup and customize deep learning environment in seconds.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

The official repository of the Eesen project

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

🎸 A maestro of pitch detection.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

💬 Speech recognition for your site

Stephanie is an open-source platform built specifically for voice-controlled applications as well as to automate daily tasks imitating much of an virtual assistant's work.

Descriptive Deep Learning

Curated set of transformers that make your work with steppy faster and more effective 🔭

convert model from mxnet to caffe without lossing precision

Node based multi effects audio processor

Free, easy, portable audio engine for games

Your Hardcore Loop Machine.

Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)

A speech-to-text bot for discord with music commands and more using NodeJS. Ideally for controlling your Discord server using voice commands, can also be useful for hearing-impaired people.