Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
Fleurs: Few-shot learning evaluation of universal representations of speech
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of
Speech benchmark. FLEURS is an n-way parallel speech dataset in 102 languages built on …
Speech benchmark. FLEURS is an n-way parallel speech dataset in 102 languages built on …
An introduction to deep learning in natural language processing: Models, techniques, and tools
Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that
involves the design and implementation of systems and algorithms able to interact through …
involves the design and implementation of systems and algorithms able to interact through …
VoxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation
We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of
unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised …
unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised …
Gender bias in machine translation
Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …
accessible shortcuts for gathering, processing, and communicating information. However, it …
Fast conformer with linearly scalable attention for efficient speech recognition
Conformer-based models have become the dominant end-to-end architecture for speech
processing tasks. With the objective of enhancing the conformer architecture for efficient …
processing tasks. With the objective of enhancing the conformer architecture for efficient …
Reproducing whisper-style training using an open-source toolkit and publicly available data
Pre-training speech models on large volumes of data has achieved remarkable success.
OpenAI Whisper is a multilingual multitask model trained on 680k hours of supervised …
OpenAI Whisper is a multilingual multitask model trained on 680k hours of supervised …
Findings of the IWSLT 2022 Evaluation Campaign.
The evaluation campaign of the 19th International Conference on Spoken Language
Translation featured eight shared tasks:(i) Simultaneous speech translation,(ii) Offline …
Translation featured eight shared tasks:(i) Simultaneous speech translation,(ii) Offline …
The multilingual tedx corpus for speech recognition and translation
We present the Multilingual TEDx corpus, built to support speech recognition (ASR) and
speech translation (ST) research across many non-English source languages. The corpus is …
speech translation (ST) research across many non-English source languages. The corpus is …
Salm: Speech-augmented language model with in-context learning for speech recognition and translation
We present a novel Speech Augmented Language Model (SALM) with multitask and in-
context learning capabilities. SALM comprises a frozen text LLM, a audio encoder, a …
context learning capabilities. SALM comprises a frozen text LLM, a audio encoder, a …