164 citations · 430 across the 25 of their papers we have counts for
8 papers · 1 filter
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning
Gabi Shalev, Gal-Lev Shalev, Joseph Keshet
Image captioning research achieved breakthroughs in recent years by developing neural models that can generate diverse and high-quality descriptions for images drawn from the same…
DDKtor: Automatic Diadochokinetic Speech Analysis
Yael Segal, Kasia Hitczenko, Matthew Goldrick +3
Diadochokinetic speech tasks (DDK), in which participants repeatedly produce syllables, are commonly used as part of the assessment of speech motor impairments. These studies rely…
Formant Estimation and Tracking using Probabilistic Heat-Maps
Yosi Shrem, Felix Kreuk, Joseph Keshet
Formants are the spectral maxima that result from acoustic resonances of the human vocal tract, and their accurate estimation is among the most fundamental speech processing proble…
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…
Self-supervised Speaker Diarization
Yehoshua Dissen, Felix Kreuk, Joseph Keshet
Over the last few years, deep learning has grown in popularity for speaker verification, identification, and diarization. Inarguably, a significant part of this success is due to t…
Correcting Mispronunciations in Speech using Spectrogram Inpainting
Talia Ben-Simon, Felix Kreuk, Faten Awwad +2
Learning a new language involves constantly comparing speech productions with reference productions from the environment. Early in speech acquisition, children make articulatory ad…
DeepFry: Identifying Vocal Fry Using Deep Neural Networks
Bronya R. Chernyak, Talia Ben Simon, Yael Segal +4
Vocal fry or creaky voice refers to a voice quality characterized by irregular glottal opening and low pitch. It occurs in diverse languages and is prevalent in American English, w…