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Search results for recurrent neural networks speech recognition
recurrent-neural-networks
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speech-recognition
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13 search results found
Awesome Speech Recognition Speech Synthesis Papers
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2,869
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Automatic_speech_recognition
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2,743
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Pytorch Kaldi
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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.
Mycroft Precise
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749
A lightweight, simple-to-use, RNN wake word listener
Eesen
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673
The official repository of the Eesen project
Ctcdecoder
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577
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Neural_sp
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466
End-to-end ASR/LM implementation with PyTorch
Ctcwordbeamsearch
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453
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
Rnn_ctc
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216
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Hey Jetson
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189
Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Rnnt Speech Recognition
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152
End-to-end speech recognition using RNN Transducers in Tensorflow 2.0
Bidirectional_rnn
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152
bidirectional lstm
Rnn Speech Denoising
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129
Recurrent neural network training for noise reduction in robust automatic speech recognition
Speech Recognition Neural Network
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128
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Rnn Transducer
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100
MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks
Rnn Transducer
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79
A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition
Speech Emotion Recognition
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78
Detecting emotions using MFCC features of human speech using Deep Learning
Patter
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61
speech-to-text in pytorch
Tf Speech Recognition Challenge Solution
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53
Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recogn The solution ranked in top 5% in private leaderboard.
Open_stt_e2e
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39
PyTorch end-to-end speech recognition
Speech_emotion_recognition
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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
Speech Emotion Recognition
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23
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Speechnet
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18
Automatic Speech Recognition
Speech Recognition
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18
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Sparse_image_warp_pytorch
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14
Pytorch implementation of sparse_image_warp and an example of GoogleBrain's SpecAugment is given: A Simple Data Augmentation Method for Automatic Speech Recognition https://arxiv.org/abs/1904.08779
Spoken Digit Recognition
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14
🎙️Spoken Digit Recognition with LSTM
Automatic_speech_recognition_with_multi_models
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10
A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.
Recurrentnn_speechrecognition
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10
A model based in Tensorflow to recognize words from the 30 word Speech Commands Dataset from Google using LSTM based Recurrent Neural Network.
Neural Networks And Deep Learning
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9
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
Speech Recognition
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5
Automatic Speech Recognition on the Digital Archive of the Southern Speech
Dnn Speech Recognizer
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5
Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.
Yeezy Taught Me
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5
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
Related Searches
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Lstm Recurrent Neural Networks (1,147)
Tensorflow Recurrent Neural Networks (910)
Python Speech Recognition (876)
Python Recurrent Neural Networks (482)
1-13 of 13 search results
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