Search Results for author:
Found 5 papers, 0 papers with code
BadSQA: Stealthy Backdoor Attacks Using Presence Events as Triggers in Non-Intrusive Speech Quality Assessment
Non-Intrusive speech quality assessment (NISQA) has gained significant attention for predicting the mean opinion score (MOS) of speech without requiring the reference speech.
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
This work explores a backdoor attack that utilizes sample-specific triggers based on voice conversion.
Residual-Guided Non-Intrusive Speech Quality Assessment
We generate an enhanced speech on the impaired speech to compensate for the absence of the reference audio, then pair the information of residuals with the impaired speech.
Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost Sensors
The results show that the sensor sampling strategy directly affects the quality of the air pollution estimation and that each type of sensor may require different sampling strategies.
Encoding Sentiment Information into Word Vectors for Sentiment Analysis
General-purpose pre-trained word embeddings have become a mainstay of natural language processing, and more recently, methods have been proposed to encode external knowledge into word embeddings to benefit specific downstream tasks.
