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Real-Time Full-Band Voice Conversion with Sub-Band Modeling and Data-Driven Phase Estimation of Spectral Differentials

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ecja.4400660203openalex-snapshot
Mel Log Spectrum Approximation (MLSA) filter for speech synthesis
inferredcites →https://doi.org/10.1016/0165-1684(83)90013-0openalex-snapshot
Multirate digital signal processing
inferredcites →https://doi.org/10.1016/j.sigpro.2019.107368openalex-snapshot
Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks
inferredcites →https://doi.org/10.1016/j.specom.2018.03.011openalex-snapshot
Intra-gender statistical singing voice conversion with direct waveform modification using log-spectral differential
inferredcites →https://doi.org/10.1016/s0167-6393(98)00085-5openalex-snapshot
Restructuring speech representations using a pitch-adaptive time–frequency smoothing and an instantaneous-frequency-based F0 extraction: Possible role of a repetitive structure in sounds
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1109/89.661472openalex-snapshot
Continuous probabilistic transform for voice conversion
inferredcites →https://doi.org/10.1109/asru.2017.8269005openalex-snapshot
Subband wavenet with overlapped single-sideband filterbanks
inferredcites →https://doi.org/10.1109/globalsip.2014.7032186openalex-snapshot
Augmented speech production based on real-time statistical voice conversion
inferredcites →https://doi.org/10.1109/icassp.1988.196671openalex-snapshot
Voice conversion through vector quantization
inferredcites →https://doi.org/10.1109/icassp.1992.225953openalex-snapshot
An adaptive algorithm for mel-cepstral analysis of speech
inferredcites →https://doi.org/10.1109/icassp.2009.4960478openalex-snapshot
Voice conversion using Artificial Neural Networks
inferredcites →https://doi.org/10.1109/icassp.2015.7178896openalex-snapshot
Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/icassp.2019.8682298openalex-snapshot
Neural Source-filter-based Waveform Model for Statistical Parametric Speech Synthesis
inferredcites →https://doi.org/10.1109/icassp.2019.8682336openalex-snapshot
Streaming End-to-end Speech Recognition for Mobile Devices
inferredcites →https://doi.org/10.1109/icassp.2019.8682804openalex-snapshot
LPCNET: Improving Neural Speech Synthesis through Linear Prediction
inferredcites →https://doi.org/10.1109/icassp.2019.8682897openalex-snapshot
Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053854openalex-snapshot
One-Shot Voice Conversion by Vector Quantization
inferredcites →https://doi.org/10.1109/icassp40776.2020.9054490openalex-snapshot
Lifter Training and Sub-Band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials
inferredcites →https://doi.org/10.1109/tasl.2007.907344openalex-snapshot
Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory
inferredcites →https://doi.org/10.1109/taslp.2017.2761547openalex-snapshot
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/taslp.2020.3001456openalex-snapshot
ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion
inferredcites →https://doi.org/10.1109/tcsii.2006.882193openalex-snapshot
Minimum-Phase FIR Filter Design Using Real Cepstrum
inferredcites →https://doi.org/10.1145/3292500.3330701openalex-snapshot
Optuna
inferredcites →https://doi.org/10.1250/ast.11.71openalex-snapshot
Voice conversion through vector quantization.
inferredcites →https://doi.org/10.1250/ast.41.761openalex-snapshot
JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research
inferredcites →https://doi.org/10.1587/transinf.2015edp7457openalex-snapshot
WORLD: A Vocoder-Based High-Quality Speech Synthesis System for Real-Time Applications
inferredcites →https://doi.org/10.21437/interspeech.2012-34openalex-snapshot
Implementation of computationally efficient real-time voice conversion
inferredcites →https://doi.org/10.21437/interspeech.2017-247openalex-snapshot
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities
inferredcites →https://doi.org/10.21437/interspeech.2017-314openalex-snapshot
Speaker-Dependent WaveNet Vocoder
inferredcites →https://doi.org/10.21437/interspeech.2017-970openalex-snapshot
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks
inferredcites →https://doi.org/10.21437/interspeech.2018-2394openalex-snapshot
Investigation on Bandwidth Extension for Speaker Recognition
inferredcites →https://doi.org/10.21437/ssw.2019-17openalex-snapshot
Implementation of DNN-based real-time voice conversion and its improvements by audio data augmentation and mask-shaped device
inferredcites →https://doi.org/10.23919/apsipa.2018.8659658openalex-snapshot
A Revisit to Feature Handling for High-quality Voice Conversion Based on Gaussian Mixture Model
inferredcites →https://doi.org/10.23919/eusipco.2018.8553236openalex-snapshot
CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1612.08083openalex-snapshot
Language Modeling with Gated Convolutional Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4931626openalex-extracted
Advancements in Real-Time Voice Conversion Technologies: A Comprehensive Analysis of Techniques
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096442openalex-snapshot
Low-Latency Electrolaryngeal Speech Enhancement Based on Fastspeech2-Based Voice Conversion and Self-Supervised Speech Representation
inferred← citeshttps://doi.org/10.1587/ieiceissjournal.27.3_12openalex-snapshot
Real-Time Full-Band Voice Conversion with Sub-Band Modeling and Data-Driven Phase Estimation of Spectral Differentials
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