:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Harati, Amir, Shriberg, Elizabeth, Rutowski, Tomasz, Chlebek, Piotr, Lu, Yang, Oliveira, Ricardo
Format:	Preprint
Published:	2024
Subjects:	Audio and Speech Processing Computation and Language
Online Access:	https://arxiv.org/abs/2412.16900
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
by: Rutowski, Tomek, et al.
Published: (2024)

Optimizing Speech-Input Length for Speaker-Independent Depression Classification
by: Rutowski, Tomasz, et al.
Published: (2024)

Robust Speech and Natural Language Processing Models for Depression Screening
by: Lu, Y., et al.
Published: (2024)

Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning
by: Rutowski, Tomasz, et al.
Published: (2024)

Cross-Demographic Portability of Deep NLP-Based Depression Models
by: Rutowski, Tomek, et al.
Published: (2024)

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification
by: Peng, Yifan, et al.
Published: (2024)

AttentiveMOS: A Lightweight Attention-Only Model for Speech Quality Prediction
by: Kibria, Imran E, et al.
Published: (2024)

Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders
by: Shan, Weiqiao, et al.
Published: (2025)

TASU: Text-Only Alignment for Speech Understanding
by: Peng, Jing, et al.
Published: (2025)

Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks
by: Vázquez-Romero, Adrián, et al.
Published: (2024)

Training and Inference Efficiency of Encoder-Decoder Speech Models
by: Żelasko, Piotr, et al.
Published: (2025)

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection
by: Yeh, Hsiang-Chen, et al.
Published: (2026)

Validating Computational Markers of Depressive Behavior: Cross-Linguistic Speech-Based Depression Detection with Neurophysiological Validation
by: Tao, Fuxiang, et al.
Published: (2026)

SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information
by: Zhang, Xiangyu, et al.
Published: (2025)

DeCRED: Decoder-Centric Regularization for Encoder-Decoder Based Speech Recognition
by: Polok, Alexander, et al.
Published: (2025)

Arabic ASR on the SADA Large-Scale Arabic Speech Corpus with Transformer-Based Models
by: Gerazov, Branislav, et al.
Published: (2025)

WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark
by: Ma, Linhan, et al.
Published: (2024)

BENYO-S2ST-Corpus-1: A Bilingual English-to-Yoruba Direct Speech-to-Speech Translation Corpus
by: Adetiba, Emmanuel, et al.
Published: (2025)

Streaming Speech Recognition with Decoder-Only Large Language Models and Latency Optimization
by: Wan, Genshun, et al.
Published: (2026)

Addressing Index Collapse of Large-Codebook Speech Tokenizer with Dual-Decoding Product-Quantized Variational Auto-Encoder
by: Guo, Haohan, et al.
Published: (2024)

Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
by: Shin, Ui-Hyeop, et al.
Published: (2024)

Asymmetric Encoder-Decoder Based on Time-Frequency Correlation for Speech Separation
by: Shin, Ui-Hyeop, et al.
Published: (2026)

Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition
by: Xie, Xurong, et al.
Published: (2022)

UrduSpeech: A 156-Hour Urdu Speech Corpus with 12-Dimension Paralinguistic Annotations
by: Haq, Attia Nafees ul, et al.
Published: (2026)

WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features
by: Close, George, et al.
Published: (2025)

Mamba-based Decoder-Only Approach with Bidirectional Speech Modeling for Speech Recognition
by: Masuyama, Yoshiki, et al.
Published: (2024)

MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
by: Zhang, Bowen, et al.
Published: (2025)

Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion Recognition
by: Zhao, Yan, et al.
Published: (2024)

Linguistic Knowledge Transfer Learning for Speech Enhancement
by: Hung, Kuo-Hsuan, et al.
Published: (2025)

A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning
by: minjie, Xiang
Published: (2024)

Attention-Constrained Inference for Robust Decoder-Only Text-to-Speech
by: Wang, Hankun, et al.
Published: (2024)

Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models
by: Polok, Alexander, et al.
Published: (2024)

SaSLaW: Dialogue Speech Corpus with Audio-visual Egocentric Information Toward Environment-adaptive Dialogue Speech Synthesis
by: Take, Osamu, et al.
Published: (2024)

Streaming Decoder-Only Automatic Speech Recognition with Discrete Speech Units: A Pilot Study
by: Chen, Peikun, et al.
Published: (2024)

Distinctive Feature Codec: An Adaptive Efficient Speech Representation for Depression Detection
by: Zhang, Xiangyu, et al.
Published: (2025)

Electrolaryngeal Speech Intelligibility Enhancement Through Robust Linguistic Encoders
by: Violeta, Lester Phillip, et al.
Published: (2023)

PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models
by: Feng, Tiantian, et al.
Published: (2023)

spINAch: A Diachronic Corpus of French Broadcast Speech Controlled for Speakers' Age and Gender
by: Devauchelle, Simon, et al.
Published: (2026)

Rethinking Cross-Corpus Speech Emotion Recognition Benchmarking: Are Paralinguistic Pre-Trained Representations Sufficient?
by: Phukan, Orchid Chetia, et al.
Published: (2025)

ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus
by: Ogunremi, Tolulope, et al.
Published: (2023)