A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
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Apr 5, 2022 - Python
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specaugment
Here are 18 public repositories matching this topic...
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
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Sep 5, 2020 - Python
Tensor2tensor experiment with SpecAugment
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May 13, 2019 - Python
End-to-end speech recognition on AISHELL dataset.
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Nov 9, 2021 - Python
fast SpecAugmentation code with numpy and scipy
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Jul 5, 2019 - Python
tf 2.0 implementation of Listen, attend and spell
recognition tensorflow keras speech listen speech-recognition spell 2 tf listen-attend-and-spell attend tensorflow2 specaugment
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Jan 19, 2021 - Python
A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input
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Aug 11, 2021 - Jupyter Notebook
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
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Apr 21, 2021 - Jupyter Notebook
XSpeech: A Novel Deep Learning Approach to Classifying Stutters
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Aug 3, 2025 - Jupyter Notebook
End-to-end English speech recognition in PyTorch from scratch: CNN + BiLSTM + CTC trained on 100h LibriSpeech. 22.6% WER greedy, 12.2% with beam search + 4-gram LM under 7 GPU-hours on a single laptop GPU.
deep-learning pytorch speech-recognition speech-to-text asr crnn librispeech bilstm kenlm librispeech-dataset asr-model specaugment
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Jun 12, 2026 - Python
Radio signal spectrogram classification with PyTorch, SpecAugment-based data augmentation, and a pretrained EfficientNet-B0 model for four-class signal recognition.
computer-vision deep-learning signal-processing cnn pytorch image-classification spectrogram transfer-learning specaugment efficientnet radio-signals efficientnet-b0 timm
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May 8, 2026 - Jupyter Notebook
Simple numpy-based implementation of SpecAugment
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Sep 25, 2023 - Python
Performs data augmentation as according to the SpecAugment paper. Modified from Lingvo (TensorFlow > 1.10.0).
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Jan 26, 2022 - Python
Speech recognition toolkit featuring SpecAugment, Whisper fine-tuning, LAS ASR, synthetic data generation, benchmarking, and a desktop GUI. Built with PyTorch, Transformers, Librosa, and CustomTkinter.
machine-learning gui deep-learning transformers pytorch tts speech-recognition librosa whisper asr specaugment customtkinter
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Jul 1, 2026 - Python
REST API based on PyTorch (ResNet18) for classifying 50 categories of natural and household sounds (rain, chainsaw, glass breaking, etc.) from audio files. Mel spectrograms + FastAPI. Val accuracy 86%. Trained in Google Colab on ESC-50.
python machine-learning computer-vision deep-learning rest-api cnn pytorch transfer-learning audio-classification audio-processing restnet sound-classification torchaudio google-colab uvicorn mel-spectrogram esc-50 fastapi specaugment restnet18
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Aug 13, 2026 - Jupyter Notebook
PyTorch implementation of Transformer-based Automatic Speech Recognition with attention mechanisms, SpecAugment, CTC loss, and mixed precision training. Achieves competitive WER/CER on LibriSpeech.
machine-learning natural-language-processing deep-learning pytorch transformer speech-recognition speech-to-text attention-mechanism audio-processing ctc encoder-decoder librispeech asr-model specaugment wandb
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Feb 21, 2025 - Python
An Audio Classification task with two types of inputs to the CNN models for intended work using Tensorflow.
docker spectrogram audio-classification cnn-keras waveform-data specaugment streamlit-webapp very-deep-cnns
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Jul 15, 2025 - Jupyter Notebook
FastAPI service for music genre classification (GTZAN, 10 classes) using a CNN with Mel spectrograms. 78% test accuracy, SpecAugment data augmentation, fully offline inference.
python machine-learning deep-learning rest-api cnn pytorch music-genre-classification audio-classification torchaudio mel-spectrogram fastapi gtzan specaugment
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Aug 13, 2026 - Jupyter Notebook
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