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Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
Sequence-to-sequence (seq2seq) based ASR systems have shown state-of-the-art performances while having clear advantages in terms of simplicity.
Automatic marker-free registration of tree point-cloud data based on rotating projection
In coarse registration, point clouds produced by each scan are projected onto a spherical surface to generate a series of two-dimensional (2D) images, which are used to estimate the initial positions of multiple scans.
Class LM and word mapping for contextual biasing in End-to-End ASR
In ASR, many utterances contain rich named entities.
Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems
We demonstrate that f-SpecAugment is more effective than the utterance level SpecAugment for deep CNN based hybrid models.
Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models
The first stage pre-trains the student model on a large number of filtered multi-modal datasets.
Gradable ChatGPT Translation Evaluation
ChatGPT, as a language model based on large-scale pre-training, has exerted a profound influence on the domain of machine translation.
