5 papers
Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels
Tzeviya Sylvia Fuchs, Yedid Hoshen
Unsupervised word segmentation in audio utterances is challenging as, in speech, there is typically no gap between words. In a preliminary experiment, we show that recent deep self…
THOR: Threshold-Based Ranking Loss for Ordinal Regression
Tzeviya Sylvia Fuchs, Joseph Keshet
In this work, we present a regression-based ordinal regression algorithm for supervised classification of instances into ordinal categories. In contrast to previous methods, in thi…
Unsupervised Word Segmentation using K Nearest Neighbors
Tzeviya Sylvia Fuchs, Yedid Hoshen, Joseph Keshet
In this paper, we propose an unsupervised kNN-based approach for word segmentation in speech utterances. Our method relies on self-supervised pre-trained speech representations, an…
CNN-based Spoken Term Detection and Localization without Dynamic Programming
Tzeviya Sylvia Fuchs, Yael Segal, Joseph Keshet
In this paper, we propose a spoken term detection algorithm for simultaneous prediction and localization of in-vocabulary and out-of-vocabulary terms within an audio segment. The p…
SpeechYOLO: Detection and Localization of Speech Objects
Yael Segal, Tzeviya Sylvia Fuchs, Joseph Keshet
In this paper, we propose to apply object detection methods from the vision domain on the speech recognition domain, by treating audio fragments as objects. More specifically, we p…