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Found 5 papers, 2 papers with code
SSG2: A new modelling paradigm for semantic segmentation
By adding this "temporal" dimension, we exploit strong signal correlations between successive observations in the sequence to reduce error rates.
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
Explainable AI (XAI) techniques have been widely used to help explain and understand the output of deep learning models in fields such as image classification and Natural Language Processing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Explanations for Automatic Speech Recognition
We address quality assessment for neural network based ASR by providing explanations that help increase our understanding of the system and ultimately help build trust in the system.
Automatic Speech Recognition
Explainable Artificial Intelligence (XAI)
+4
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking
We evaluate portability and effectiveness of our techniques using three popular ASRs and two input audio datasets using the metrics - Word Error Rate (WER) of output transcription, Similarity to original audio, attack Success Rate on different ASRs and Detection score by a defense system.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks
We implement a comprehensive suite of network protocols and demonstrate the use of SeQUeNCe by simulating a photonic quantum network with nine routers equipped with quantum memories.
Quantum Physics
