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Speech-to-Text

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Showing 301–325 of 403 papers

TitleStatusHype
Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers—0
SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognitionCode0
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems—0
Towards the evaluation of automatic simultaneous speech translation from a communicative perspective—0
Towards Robust Speech-to-Text Adversarial Attack—0
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech—0
NUVA: A Naming Utterance Verifier for Aphasia Treatment—0
Audio Adversarial Examples: Attacks Using Vocal Masks—0
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center—0
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge—0
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm—0
Exploring Transfer Learning For End-to-End Spoken Language Understanding—0
Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos—0
End to End ASR System with Automatic Punctuation InsertionCode0
Attentively Embracing Noise for Robust Latent Representation in BERTCode0
mask-Net: Learning Context Aware Invariant Features using Adversarial Forgetting (Student Abstract)Code0
A low latency ASR-free end to end spoken language understanding system—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Bridging the Modality Gap for Speech-to-Text Translation—0
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models—0
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation—0
Class-Conditional Defense GAN Against End-to-End Speech Attacks—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
Towards End-to-End Training of Automatic Speech Recognition for Nigerian PidginCode0
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines—0
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