preranas20 / Emotion-Detection-in-SpeechLinks
Predicting emotions based on speech audio samples of American English, German and British English languages using Support Vector Machine, K-Nearest Neighbor, Random Forest and Recurrent Neural Network. Analyzing the performance of each model based on the dataset.
β20Updated 7 years ago
Alternatives and similar repositories for Emotion-Detection-in-Speech
Users that are interested in Emotion-Detection-in-Speech are comparing it to the libraries listed below
Sorting:
- π§ Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)β225Updated 5 years ago
- Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features libraryβ211Updated 5 years ago
- Detecting emotions using MFCC features of human speech using Deep Learningβ130Updated 4 years ago
- Deep Learning - one shot learning for speaker recognition using Filter Banksβ170Updated last year
- β90Updated 2 years ago
- Understanding emotions from audio files using neural networks and multiple datasets.β420Updated 2 years ago
- Speaker independent emotion recognitionβ323Updated last year
- TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18β293Updated last year
- PyTorch code for end-to-end spoken language understanding (SLU) with ASR-based transfer learningβ228Updated 4 years ago
- Punctuation restoration and spell correction experiments.β251Updated 4 years ago
- An end-to-end Python pipeline for performing sentiment analysis on audio files of call-center conversations.β36Updated 8 years ago
- The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech procβ¦β371Updated 3 months ago
- Identifying people from small audio fragmentsβ170Updated 5 years ago
- [deprecated] Pretrained models for pyannote-audio 1.xβ71Updated 3 years ago
- A machine learning application for emotion recognition from speechβ136Updated 7 years ago
- A Python library for measuring the acoustic features of speech (simultaneous speech, high entropy) compared to ones of native speech.β262Updated 2 years ago
- speech emotion recognition using a convolutional recurrent networks based on IEMOCAPβ401Updated 6 years ago
- A list of publically available audio data that anyone can download for ASR or other speech activitiesβ227Updated 4 years ago
- Bidirectional LSTM network for speech emotion recognition.β264Updated 6 years ago
- Live demo for speech emotion recognition using Keras and Tensorflow modelsβ39Updated last year
- Voice Emotion Detector that detects emotion from audio speech using one dimensional CNNs (convolutional neural networks) using keras and β¦β110Updated 7 years ago
- π£οΈ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).β384Updated 2 years ago
- Speech-to-text based on wav2letter built for transfer learningβ98Updated 2 years ago
- Automatically constructing corpus for automatic speech recognition from YouTube videosβ154Updated 5 years ago
- Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.β140Updated 4 years ago
- Repository containing experimentation platform on how to train, infer on wav2vec2 models.β87Updated 3 years ago
- Speaker diarization scripts, based on AaltoASRβ190Updated 6 years ago
- Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)β217Updated 2 years ago
- Keras(Tensorflow) implementations of Automatic Speech Recognitionβ24Updated 3 years ago
- This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )β537Updated 3 years ago