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Obsidian Vault
Home
Paper Reviews
Paper Reviews
LinOSS
Mamba
Phase Locking
State Space Model
Wiki
Wiki
Overview
Attachments
Attachments
Excalidraw
Excalidraw
Book&Claim
DDDM impl overview
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General Concepts
General Concepts
Affective Agent Model
Entanglement of Latent Features
Entropy
Evidence Lower Bound
Generative Modeling
Harmonic Oscillator
Kullback Leibler divergence
Langevin Dynamics
Manifold Hypothesis
Optimizer
Parallel and Non parallel Training Data
Relative Attribute Rank
Tractable Distribution
Tweedie's forumla
Wasserstein metric
Zero shot Learning
Literature Notes
Literature Notes
Wav2Vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
@balajiEDiffTextImageDiffusionModels2023
Mechanistic Interpretability for AI Safety – A Review
Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network
Cepstral Smoothing of Spectral Filter Gains for Speech Enhancement Without Musical Noise
@changDesignFundamentalsDiffusion2023
Isolating Sources of Disentanglement in Variational Autoencoders
Neural Ordinary Differential Equations
@choiDDDMVCDecoupledDenoising2024
YIN, a fundamental frequency estimator for speech and musica)
Diffusion Models Beat GANs on Image Synthesis
Guided Variational Autoencoder for Disentanglement Learning
@dinhNICENonlinearIndependent2014
Adversarially Learned Inference
Tweedie’s Formula and Selection Bias
Are There Basic Emotions?
Generative adversarial networks
@guoEmoDiffIntensityControllable2023
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
@higginsVVAELEARNINGBASIC2017
Denoising Diffusion Probabilistic Models
Subspace Diffusion Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Disentangling by Factorising
@kimGlowTTSGenerativeFlow2020
Auto-Encoding Variational Bayes
An Introduction to Variational Autoencoders
Diffusion Models already have a Semantic Latent Space
A Brief Introduction to Generative Models
Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck
Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings
Decoding of inconsistent communications.
Improved Denoising Diffusion Probabilistic Models
@ohDurFlexEVCDurationFlexibleEmotional2024
Relative attributes
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
@popovGradTTSDiffusionProbabilistic2021
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis
@renFastSpeechFastRobust2019
A circumplex model of affect.
@schullerComputationalParalinguisticsEmotion2013
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Generative Modeling by Estimating Gradients of the Data Distribution
Improved Techniques for Training Score-Based Generative Models
Score-Based Generative Modeling through Stochastic Differential Equations
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Score-based Generative Modeling in Latent Space
@wagnerDawnTransformerEra2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations
@zhouEmotionalVoiceConversion2022
@zhuS3VAESelfSupervisedSequential2020
Models
Models
EnCodec
G2P
Wav2Vec 2.0
Emotion Conversion
Emotion Conversion
EmoConv Diff
Emotional Voice Conversion (EVC)
In the wild SEC
General Models
General Models
Autoregressive Models
ComputerScience #AI
Normalizing Flows
Seq2seq model
Autoencoder
Autoencoder
ALI VAE
Autoencoder (AE)
Factor VAE
S3VAE
Supervised Guided VAE
U Net
Unsupervised Guided VAE
Variational Autoencoder
beta TCVAE
beta VAE
Diffusion Models
Diffusion Models
ComputerScience #AI
Disentanglement in Diffusion Models
Latent Score Based Generative Model
Score Based Diffusion Model
Generative Adversarial Networks
Generative Adversarial Networks
ComputerScience #AI
Unrolled GAN
Speech Synthesis
Speech Synthesis
DiffVC
DiffVoice
E3 TTS
EmoDiff
EmoMix
ComputerScience #Speech #Emotion
Grad TTS
HiFiGAN
MixedEmotions
NANSY
DDDM VC
DDDM VC
Architecture
Code Base
Disentangled Denoising
Overview
Potential Extensions
Psychology
Psychology
Emotion
Emotion
Ekman's Big Six
Emotion
Russell's Circumplex Model
Neuroscience
Neuroscience
Neural Oscillation
Neural Spiking
Speech Processing (Basics)
Speech Processing (Basics)
Analysis Window
Autoregressive Moving Average (ARMA)
Cepstrum
Complex Integral
Differential Equation
Discrete Cosine Transformation
Estimator
Estimator
Table of contents
Minimum Mean Square Error (MMSE)
Maximum Likelihood Estimation (MLE)
Formant
Fourier Transformation
Fundamental Frequency (F0)
LTI System
Mel frequency Cepstrum Coefficients (MFCC)
Phonetic Transcription
Power Spectral Density (PSD)
Quantization
Source Filter Model
Spectral Envelope
Spectral Leakage
Spectral Transformation
Speech Coding
Speech Enhancement
Speech Recognition
Speech Signal Processing Overview
Transfer Function
Vocoding
Wiener Filter
Speech Synthesis
Speech Synthesis
Affective Speech Synthesis (ASS)
Datasets for Emotional Speech
Duration Prediction
Speaker Recognition
Speech Emotion Recognition (SER)
Text to Speech Synthesis (TTS)
Voice Conversion (VC)
Yingram
Assets
Assets
Excalidraw
Excalidraw
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Table of contents
Minimum Mean Square Error (MMSE)
Maximum Likelihood Estimation (MLE)
Estimator
Minimum Mean Square Error (MMSE)
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Maximum Likelihood Estimation (MLE)
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