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Found 11 papers, 6 papers with code
Attentive activation function for improving end-to-end spoofing countermeasure systems
The main objective of the spoofing countermeasure system is to detect the artifacts within the input speech caused by the speech synthesis or voice conversion process.
Robust Speech Representation Learning via Flow-based Embedding Regularization
Over the recent years, various deep learning-based methods were proposed for extracting a fixed-dimensional embedding vector from speech signals.
Continuous Monitoring of Blood Pressure with Evidential Regression
Photoplethysmogram (PPG) signal-based blood pressure (BP) estimation is a promising candidate for modern BP measurements, as PPG signals can be easily obtained from wearable devices in a non-invasive manner, allowing quick BP measurement.
Unsupervised Representation Learning for Speaker Recognition via Contrastive Equilibrium Learning
In this paper, we propose a simple but powerful unsupervised learning method for speaker recognition, namely Contrastive Equilibrium Learning (CEL), which increases the uncertainty on nuisance factors latent in the embeddings by employing the uniformity loss.
Robust Text-Dependent Speaker Verification via Character-Level Information Preservation for the SdSV Challenge 2020
This paper describes our submission to Task 1 of the Short-duration Speaker Verification (SdSV) challenge 2020.
Audio and Speech Processing Sound
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
In recent years, various flow-based generative models have been proposed to generate high-fidelity waveforms in real-time.
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Flow-based generative models are composed of invertible transformations between two random variables of the same dimension.
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Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution
Analyzing how human beings resolve syntactic ambiguity has long been an issue of interest in the field of linguistics.
Giving Space to Your Message: Assistive Word Segmentation for the Electronic Typing of Digital Minorities
For readability and disambiguation of the written text, appropriate word segmentation is recommended for documentation, and it also holds for the digitized texts.
Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing
Intention identification is a core issue in dialog management.
HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection
This paper proposes a novel feature extraction process for SemEval task 3: Irony detection in English tweets.
