PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
-
Updated
Nov 18, 2021 - Python
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Discord bot that manages expiration of roles with subscriptions!
Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.
heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a <= T_n <= 100a'
Operations with ISO 8601 durations
Predict the approach time of an aircraft to an airport, by using the gathered data from Flightradar24.
Standardized parameterization of sinoatrial node myocyte action potentials
Custom Python library focused on numerical methods for valuing fixed income securities: bonds, swaps, options, etc.
This is a library for fixed income quant analytics.
Toolkit for Fixed Income instruments
(available only in spanish at the moment) en este programa podras valuar un bono o prestamo, si posee un sist de amortizacion frances,aleman o bullet
Add a description, image, and links to the duration topic page so that developers can more easily learn about it.
To associate your repository with the duration topic, visit your repo's landing page and select "manage topics."