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20 search results found

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Vosk Api ⭐ 6,633

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Awesome Speech Recognition Speech Synthesis Papers ⭐ 2,869

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Pytorch Kaldi ⭐ 2,138

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Julius ⭐ 1,558

Open-Source Large Vocabulary Continuous Speech Recognition Engine

Speech Emotion Analyzer ⭐ 1,244

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Descriptive Deep Learning

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Speech To Text Benchmark ⭐ 570

speech to text benchmark framework

Speech_dataset ⭐ 229

The dataset of Speech Recognition

Hey Jetson ⭐ 189

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Voice_activity_detection ⭐ 171

Voice Activity Detection based on Deep Learning & TensorFlow

Chinese Speech To Text ⭐ 144

Chinese Speech To Text Using Wavenet

Keras Kaldi ⭐ 124

Keras Interface for Kaldi ASR

Deep Learning Papers Reading Roadmap ⭐ 122

深度学习论文阅读路线图

Kaldi Gop ⭐ 103

Computes the GMM-based Goodness of Pronunciation (GOP). Bases on Kaldi.

Indian Accent Speech Recognition ⭐ 73

Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech

Speech To Text ⭐ 51

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

Pytorch_mlp_for_asr ⭐ 27

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

Kenlm Training ⭐ 27

Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2

Speech_emotion_recognition ⭐ 23

In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conven

Speechnet ⭐ 18

Automatic Speech Recognition

Voice Activity Detection

Vosk Build Model ⭐ 11

How to create your own model for vosk

Kaldi Avsr ⭐ 8

Kaldi-based audio-visual speech recognition

Pytorch Commands ⭐ 7

Some PyTorch code for the Kaggle Speech Recognition Challenge

Deep Learning ⭐ 7

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, soc

Dnn Speech Recognizer ⭐ 5

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

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