#Speaker-identification
Showing 6 of 6 repositories tagged #speaker-identification, ranked by stars
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
SincNet is a neural architecture for efficiently processing raw audio samples.
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.
Deep Learning - one shot learning for speaker recognition using Filter Banks
Neural speaker recognition/verification system based on Kaldi and Tensorflow