Search Results for author:
Found 6 papers, 2 papers with code
One-shot Localization and Segmentation of Medical Images with Foundation Models
Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image correspondence tasks on natural images.
Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics
We propose a deep attention-based alignment network, which aims to automatically predict lyrics and melody with given incomplete lyrics as input in a way similar to the music creation of humans.
Knowledge Distillation for Singing Voice Detection
Singing Voice Detection (SVD) has been an active area of research in music information retrieval (MIR).
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition
In this work, we show that fine-tuning ASR models on code-switched speech harms performance on monolingual speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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hf0: A hybrid pitch extraction method for multimodal voice
The proposed hybrid model exploits the advantages of deep learning and signal processing methods to minimize the pitch detection error and adopts to various modes of acoustic signal.
Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning
In this paper, we propose a classification based glottal closure instants (GCI) detection from pathological acoustic speech signal, which finds many applications in vocal disorder analysis.
