Deep Learning systems for training and testing disfluency detection and related tasks on speech data.

Disfluency Detection using Auto-Correlational Neural Networks

Deep neural approach to Boundary and Disfluency Detection - Based on my Master's work

The disfluency detection of spontaneous speech. SVM, Deep Neural Network, (Bi)LSTM, Residual Network + BiLSTM

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A DL model that detects emotions in speech from individuals with stammering. It uses spectrograms and transcription to classify emotions and calculate a stammering score, offering insights into speech disfluency and emotional state through deep learning and audio processing techniques.

Tags parser for deep_disfluency.

A TCP server that receives raw audio and reply with disfluency tags.

This repo is for disfluency detection using deep learning.

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