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Optimizing Speech-Input Length for Speaker-Independent Depression Classification

Optimizing Speech-Input Length for Speaker-Independent Depression Classification

Interspeech (Interspeech), 2019
3 January 2025
Tomasz Rutowski
Amir Harati
Yang Lu
Elizabeth Shriberg
ArXiv (abs)PDFHTMLGithub

Papers citing "Optimizing Speech-Input Length for Speaker-Independent Depression Classification"

11 / 11 papers shown
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken LanguageInterspeech (Interspeech), 2022
Tomek Rutowski
Amir Harati
Elizabeth Shriberg
Yang Lu
Piotr Chlebek
Ricardo Oliveira
291
11
0
03 Jan 2025
Mask Factory: Towards High-quality Synthetic Data Generation for
  Dichotomous Image Segmentation
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image SegmentationNeural Information Processing Systems (NeurIPS), 2024
Haotian Qian
YD Chen
Shengtao Lou
Fahad Shahbaz Khan
Xiaogang Jin
Deng-Ping Fan
DiffM
240
8
0
26 Dec 2024
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer
  Learning and a Large Corpus
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large CorpusIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Amir Harati
Elizabeth Shriberg
Tomasz Rutowski
Piotr Chlebek
Yang Lu
Ricardo Oliveira
384
24
0
22 Dec 2024
Significance of Speaker Embeddings and Temporal Context for Depression
  Detection
Significance of Speaker Embeddings and Temporal Context for Depression Detection
Sri Harsha Dumpala
Sebastian Rodriguez
S. Rempel
Rudolf Uher
Sageev Oore
255
8
0
24 Jul 2021
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
3.1K
112,756
0
11 Oct 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
1.4K
12,091
0
15 Feb 2018
Universal Language Model Fine-tuning for Text Classification
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard
Sebastian Ruder
VLM
421
284
0
18 Jan 2018
Regularizing and Optimizing LSTM Language Models
Regularizing and Optimizing LSTM Language ModelsInternational Conference on Learning Representations (ICLR), 2017
Stephen Merity
N. Keskar
R. Socher
510
1,152
0
07 Aug 2017
Attentive Convolutional Neural Network based Speech Emotion Recognition:
  A Study on the Impact of Input Features, Signal Length, and Acted Speech
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted SpeechInterspeech (Interspeech), 2017
Michael Neumann
Ngoc Thang Vu
354
231
0
02 Jun 2017
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and
  Challenge
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar
Jonathan Gratch
Bjorn Schuller
Fabien Ringeval
D. Lalanne
M. Torres
Stefan Scherer
Giota Stratou
R. Cowie
Maja Pantic
609
654
0
05 May 2016
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their CompositionalityNeural Information Processing Systems (NeurIPS), 2013
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
977
35,005
0
16 Oct 2013
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