speech-analysis

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.

General Speech Restoration

Trained models for automatic speech recognition (ASR). A library to quickly build applications that require speech to text conversion.

Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).

한국어 STT 출력의 CER, WER, CRR, 키워드·개체명·코퍼스 평가를 제공하는 Python 패키지

Awesome Speech Dataset, including download links and a brief explanation for each resource. These datasets provide diverse and high-quality speech data covering various domains such as conversational, academic, political, and more.

A simple iOS App that can convert speech/voice into text. Only English voice is supported for now. Used Swift 5, AVKit and Speech.

Many ASRs under one roof. With Benchmarking... answering the question. What is the best ASR for my dataset?