9 accepted papers
We present a multilingual, multi-speaker, low-latency speech synthesis system developed by the HamaraAwaz team for Track 1 of the LIMMITS’25 challenge. To improve speaker similarity and naturalness in Indic languages, we build on ParrotTTS. We utilize disentangled self-supervised speech representati…
Automatic Audio Captioning (AAC) refers to the task of describing an audio sample in a natural language (NL) text. Unlike NL text generation tasks, which rely on lexical semantic metrics like BLEU for evaluation, the AAC evaluation metric requires acoustic semantics to map NL text corresponding to s…
Lung Auscultation is a non-invasive process of distinguishing normal respiratory sounds from abnormal ones by analyzing the airflow along the respiratory tract. With developments in the Deep Learning (DL) techniques and wider access to anonymized medical data, automatic detection of specific sounds…
Dysarthria is a motor speech impairment caused by muscle weakness. Individuals, with this condition, are unable to control rapid movement of the velum leading to reduction in intelligibility, audibility, naturalness and efficiency of vocal communication. Systems that can assess intelligibility of dy…
An End-to-End model with convolutional layers and multi-head self attention mechanism is proposed for Speech Emotion Recognition (SER) task. As inputs, we propose to use both the deep encoded linguistic features that carry the language related context of emotion and the audio spectrogram that are re…
Individuals with dysarthria are unable to control rapid movement of the velum leading to reduction in intelligibility, audibility, naturalness and efficiency of vocal communication. Automatic intelligibility assessment of dysarthric patients allows clinicians diagnose the impact of therapy and medic…
Degradation due to additive noise is a significant road block in the real-life deployment of Speech Emotion Recognition (SER) systems. Most of the previous work in this field dealt with the noise degradation either at the signal or at the feature level. In this paper, to address the robustness aspec…
Naturally introduced perturbations in audio signal, caused by emotional and physical states of the speaker, can significantly degrade the performance of Automatic Speech Recognition (ASR) systems. In this paper, we propose a front-end based on Cycle-Consistent Generative Adversarial Network (CycleGA…
Dysarthria is a motor speech impairment, often characterized by speech that is generally indiscernible by human listeners. Assessment of the severity level of dysarthria provides an understanding of the patient's progression in the underlying cause and is essential for planning therapy, as well as i…