Search Results for author:
Found 30 papers, 7 papers with code
Alibaba Speech Translation Systems for IWSLT 2018
This work describes the En→De Alibaba speech translation system developed for the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2018.
Robust Identity Perceptual Watermark Against Deepfake Face Swapping
Falsification and source tracing are accomplished by justifying the consistency between the content-matched identity perceptual watermark and the recovered robust watermark from the image.
SPGM: Prioritizing Local Features for enhanced speech separation performance
Dual-path is a popular architecture for speech separation models (e. g. Sepformer) which splits long sequences into overlapping chunks for its intra- and inter-blocks that separately model intra-chunk local features and inter-chunk global relationships.
Ranked #5 on
Speech Separation
on WSJ0-2mix
Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
We propose a model called OTI for ZSVR by employing orthogonal temporal interpolation and the matching loss based on VLMs.
Ranked #1 on
Zero-Shot Action Recognition
on UCF101
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware speaker embedding extractor for Speaker Verification (SV) that improves upon existing work by using Asymmetric Cross Attention (ACA) to replace temporal pooling.
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Therefore, we propose a novel adversarial defense mechanism, which is referred to as immune defense and is the example-based pre-defense.
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models
Learning on a massive amount of speech corpus leads to the recent success of many self-supervised speech models.
MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
To effectively solve the indirect elemental interactions across chunks in the dual-path architecture, MossFormer employs a joint local and global self-attention architecture that simultaneously performs a full-computation self-attention on local chunks and a linearised low-cost self-attention over the full sequence.
Ranked #2 on
Speech Separation
on WHAMR!
Mixed-EVC: Mixed Emotion Synthesis and Control in Voice Conversion
To achieve this, we propose a novel EVC framework, Mixed-EVC, which only leverages discrete emotion training labels.
Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages
This paper provides an overall introduction of our Automatic Speech Recognition (ASR) systems for Southeast Asian languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A Multi-scale Video Denoising Algorithm for Raw Image
Video denoising for raw image has always been the difficulty of camera image processing.
Amino Acid Classification in 2D NMR Spectra via Acoustic Signal Embeddings
Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important part of drug development.
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
Learning individual-level treatment effect is a fundamental problem in causal inference and has received increasing attention in many areas, especially in the user growth area which concerns many internet companies.
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
When speaking of sponsored search, bid keyword recommendation is the fundamental service.
A Unified Speaker Adaptation Approach for ASR
For model adaptation, we use a novel gradual pruning method to adapt to target speakers without changing the model architecture, which to the best of our knowledge, has never been explored in ASR.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
We also propose a dual-mask technique for joint echo and noise suppression with simultaneous speech enhancement.
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram
Cross-lingual voice conversion (VC) is an important and challenging problem due to significant mismatches of the phonetic set and the speech prosody of different languages.
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
In this paper, we propose a complex convolutional block attention module (CCBAM) to boost the representation power of the complex-valued convolutional layers by constructing more informative features.
Ranked #1 on
Speech Enhancement
on DNS Challenge
Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion
With these data, three neural TTS models -- Tacotron2, Transformer and FastSpeech are applied for building bilingual and code-switched TTS.
Cloud Cover and Aurora Contamination at Dome A in 2017 from KLCAM
Dome A in Antarctica has many characteristics that make it an excellent site for astronomical observations, from the optical to the terahertz.
Instrumentation and Methods for Astrophysics
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning
To this end, we extend our prior work [1], and propose a hybrid Transformer-LSTM based architecture.
Independent language modeling architecture for end-to-end ASR
To address this problem, in this work, we propose a new architecture that separates the decoder subnet from the encoder output.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data
The lack of code-switch training data is one of the major concerns in the development of end-to-end code-switching automatic speech recognition (ASR) models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Flow Based Self-supervised Pixel Embedding for Image Segmentation
Building on these, we demonstrate that image features can be learned in self-supervision by first training an optical flow estimator with synthetic flow data, and then learning image features from the estimated flows in real motion data.
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search
We also find that it is important to have sufficient speech segment pairs to train the deep CNN for effective acoustic word embeddings.
Fantastic 4 system for NIST 2015 Language Recognition Evaluation
This article describes the systems jointly submitted by Institute for Infocomm (I$^2$R), the Laboratoire d'Informatique de l'Universit\'e du Maine (LIUM), Nanyang Technology University (NTU) and the University of Eastern Finland (UEF) for 2015 NIST Language Recognition Evaluation (LRE).
The NNI Query-by-Example System for MediaEval 2015
This paper describes the system developed by the NNI team for the Query-by-Example Search on Speech Task (QUESST) in the MediaEval 2015 evaluation.
Ranked #9 on
Keyword Spotting
on QUESST
The NNI Query-by-Example System for MediaEval 2014
For both symbolic and DTW search, partial sequence matching is performed to reduce missing rate, especially for query type 2 and 3.
Ranked #6 on
Keyword Spotting
on QUESST
The similarity metric
A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied.
