Search Results for author:
Found 13 papers, 6 papers with code
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
The results demonstrate that ImGeoNet outperforms the current state-of-the-art multi-view image-based method, ImVoxelNet, on all three datasets in terms of detection accuracy.
Ranked #24 on
3D Object Detection
on ScanNetV2
EURO: ESPnet Unsupervised ASR Open-source Toolkit
This paper describes the ESPnet Unsupervised ASR Open-source Toolkit (EURO), an end-to-end open-source toolkit for unsupervised automatic speech recognition (UASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network
GAN training is adopted in the first stage to find the mapping relationship between unpaired speech and phone sequence.
Anticipation-Free Training for Simultaneous Machine Translation
Existing methods increase latency or introduce adaptive read-write policies for SimulMT models to handle local reordering and improve translation quality.
Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation
We study the possibilities of building a non-autoregressive speech-to-text translation model using connectionist temporal classification (CTC), and use CTC-based automatic speech recognition as an auxiliary task to improve the performance.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Non-autoregressive Mandarin-English Code-switching Speech Recognition
Mandarin-English code-switching (CS) is frequently used among East and Southeast Asian people.
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
Speech separation has been well developed, with the very successful permutation invariant training (PIT) approach, although the frequent label assignment switching happening during PIT training remains to be a problem when better convergence speed and achievable performance are desired.
Ranked #6 on
Speech Separation
on Libri2Mix
(using extra training data)
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation
Speech translation (ST) aims to learn transformations from speech in the source language to the text in the target language.
Training a code-switching language model with monolingual data
A lack of code-switching data complicates the training of code-switching (CS) language models.
Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding
This allows the decoder to consider the semantic consistency during decoding by absorbing the information carried by the transformed decoder feature, which is learned to be close to the target word embedding.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation
To mitigate the issue without expensive human annotation, we proposed an unsupervised method for code-switching data augmentation.
Towards Audio to Scene Image Synthesis using Generative Adversarial Network
Humans can imagine a scene from a sound.
Attention-based Memory Selection Recurrent Network for Language Modeling
Recurrent neural networks (RNNs) have achieved great success in language modeling.
