35 skills found · Page 1 of 2
nii-yamagishilab / Multi Speaker TacotronVCTK multi-speaker tacotron for ICASSP 2020
glam-imperial / EmotionalConversionStarGANThis repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
ncarraz / ESRGANplusICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise Injection in Super-Resolution GANs
upskyy / Transformer TransducerPyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)
awslabs / Speech RepresentationsCode for DeCoAR (ICASSP 2020) and BERTphone (Odyssey 2020)
siyuhuang / Crowdcount StackpoolPyTorch implementation of Stacked Pooling for Boosting Scale Invariance of Crowd Counting (ICASSP 2020)
felixkreuk / SegFeatPhoneme Boundary Detection using Learnable Segmental Features (ICASSP 2020)
MingLunHan / CIF PyTorch[ICASSP 2020] CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition (A PyTorch implementation of Continuous Integrate-and-Fire mechanism).
jayneelparekh / Sp2si CodeContains code for our work on speech to singing conversion (ICASSP 2020)
pritamqu / SSL ECGSelf-supervised ECG Representation Learning - ICASSP 2020 and IEEE T-AFFC
Elin24 / PSPLThe implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"
r9y9 / Icassp2020 Espnet Tts Merlin BaselineICASSP 2020 ESPnet-TTS: Merlin baseline system
dectrfov / Y NetY-NET: MULTI-SCALE FEATURE AGGREGATION NETWORK WITH WAVELETSTRUCTURE SIMILARITY LOSS FUNCTION FOR SINGLE IMAGE DEHAZING, ICASSP 2020
ktho22 / Vcttspytorch implementation of "Emotional Voice Conversion using Multitask Learning with Text-to-Speech", Accepted to ICASSP 2020
wyf0912 / MIXALL[ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
onolab-tmu / Code 2020ICASSP FiveFast Independent Vector Extraction: Code and data to reproduce the results from the paper.
McDonnell-Research-Lab / DCASE2019 Task1Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths - McDonnell and Gao, ICASSP 2020
onolab-tmu / Code 2020ICASSP IssCode to reproduce the experiments in the paper "Fast and stable blind source separation with rank-1 updates" presented at ICASSP 2020.
espnet / Icassp2020 TtsESPnet-TTS Audio Sample HP
nitinjmyers / Low Rank MIMO Channel Estimation From One Bit MeasurementsThis directory contains the code required to reproduce the results in our ICASSP 2020 submission titled "Low-rank mmWave MIMO channel estimation in one-bit receivers"
