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Found 12 papers, 8 papers with code
The YiTrans Speech Translation System for IWSLT 2022 Offline Shared Task
This paper describes the submission of our end-to-end YiTrans speech translation system for the IWSLT 2022 offline task, which translates from English audio to German, Chinese, and Japanese.
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
Then, we propose a reinforcement prediction-allocation framework (RPAF) to address these issues.
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
SDIC follows a "compensate-and-edit" paradigm and successfully bridges the gap in image details between the original image and the reconstructed/edited image.
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation
Recent research shows a big convergence in model architecture, training objectives, and inference methods across various tasks for different modalities.
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling
We propose a cross-lingual neural codec language model, VALL-E X, for cross-lingual speech synthesis.
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
In addition, we find Vall-E could preserve the speaker's emotion and acoustic environment of the acoustic prompt in synthesis.
VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
Although speech is a simple and effective way for humans to communicate with the outside world, a more realistic speech interaction contains multimodal information, e. g., vision, text.
Joint Pre-Training with Speech and Bilingual Text for Direct Speech to Speech Translation
However, direct S2ST suffers from the data scarcity problem because the corpora from speech of the source language to speech of the target language are very rare.
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training
The rapid development of single-modal pre-training has prompted researchers to pay more attention to cross-modal pre-training methods.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data
In this paper, we propose a cross-modal Speech and Language Model (SpeechLM) to explicitly align speech and text pre-training with a pre-defined unified discrete representation.
The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task
The YiTrans system is built on large-scale pre-trained encoder-decoder models.
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data
In this way, the decoder learns to reconstruct original speech information with codes before learning to generate correct text.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
