Search Results for author:
Found 11 papers, 2 papers with code
Prompting Audios Using Acoustic Properties For Emotion Representation
In this work, we address the challenge of automatically generating these prompts and training a model to better learn emotion representations from audio and prompt pairs.
LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model
We hypothesize that for attacks to be transferrable, it is sufficient if the proxy can approximate the target model in the neighborhood of the harmful query.
Evaluating Speech Synthesis by Training Recognizers on Synthetic Speech
In this paper, we propose an evaluation technique involving the training of an ASR model on synthetic speech and assessing its performance on real speech.
Describing emotions with acoustic property prompts for speech emotion recognition
We investigate how the model can learn to associate the audio with the descriptions, resulting in performance improvement of Speech Emotion Recognition and Speech Audio Retrieval.
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition
Accordingly, models that have been proposed for emotion detection use one or the other of these label types.
Self-supervision and Learnable STRFs for Age, Emotion, and Country Prediction
This work presents a multitask approach to the simultaneous estimation of age, country of origin, and emotion given vocal burst audio for the 2022 ICML Expressive Vocalizations Challenge ExVo-MultiTask track.
On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice
Lately, there has been a global effort by multiple research groups to detect COVID-19 from voice.
An Overview of Techniques for Biomarker Discovery in Voice Signal
This paper reflects on the effect of several categories of medical conditions on human voice, focusing on those that may be hypothesized to have effects on voice, but for which the changes themselves may be subtle enough to have eluded observation in standard analytical examinations of the voice signal.
Masked Proxy Loss For Text-Independent Speaker Verification
We further propose Multinomial Masked Proxy (MMP) loss to leverage the hardness of speaker pairs.
The phonetic bases of vocal expressed emotion: natural versus acted
Our tests show significant differences in the manner and choice of phonemes in acted and natural speech, concluding moderate to low validity and value in using acted speech databases for emotion classification tasks.
Detecting gender differences in perception of emotion in crowdsourced data
While we limit ourselves to a single modality (i. e. speech), our framework is applicable to studies of emotion perception from all such loosely annotated data in general.
