Pinned Repositories
at-demo-ttscfp2020
cloud-foundation-toolkit
The Cloud Foundation toolkit provides GCP best practices as code.
django-microservices
django-rest_api-mongodb-celery-docker-microservices
dl-colab-notebooks
Try out deep learning models online on Google Colab
Indian-Accent-Speech-Recognition
Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech
kvd-katalog
Voice-synthesis
This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.
drvaya-work's Repositories
drvaya-work/django-microservices
drvaya-work/at-demo-ttscfp2020
drvaya-work/cloud-foundation-toolkit
The Cloud Foundation toolkit provides GCP best practices as code.
drvaya-work/django-rest_api-mongodb-celery-docker-microservices
drvaya-work/dl-colab-notebooks
Try out deep learning models online on Google Colab
drvaya-work/Indian-Accent-Speech-Recognition
Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech
drvaya-work/kvd-katalog
drvaya-work/Voice-synthesis
This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.