Sound

Papers filed under cs.SD on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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721 to 780 of 1,027

An Unsupervised Autoregressive Model for Speech Representation Learning
Yu-An Chung, Wei-Ning Hsu, Hao Tang +1
cs.CLcs.LGcs.SDarXiv:1904.03240v22019
DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
Chandan K A Reddy, Vishak Gopal, Ross Cutler
eess.AScs.SDarXiv:2110.01763v42021
Summaries:한국어
A multi-device dataset for urban acoustic scene classification
Annamaria Mesaros, Toni Heittola, Tuomas Virtanen
eess.AScs.SDarXiv:1807.09840v22018
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin, Nicholas Carlini, Ian Goodfellow +2
eess.AScs.LGcs.SDarXiv:1903.10346v22019
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Chloë Brown, Jagmohan Chauhan, Andreas Grammenos +6
cs.SDcs.LGeess.ASarXiv:2006.05919v32020
A Review of Speaker Diarization: Recent Advances with Deep Learning
Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis +3
eess.AScs.CLcs.SDarXiv:2101.09624v42021
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Dongchao Yang, Jianwei Yu, Helin Wang +4
cs.SDcs.AIeess.ASarXiv:2207.09983v22022
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection
Harsh Purohit, Ryo Tanabe, Kenji Ichige +4
cs.SDcs.LGeess.ASarXiv:1909.09347v12019
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Ke Chen, Xingjian Du, Bilei Zhu +3
cs.SDcs.AIcs.IRarXiv:2202.00874v12022
Single-Channel Multi-Speaker Separation using Deep Clustering
Yusuf Isik, Jonathan Le Roux, Zhuo Chen +2
cs.LGcs.SDstat.MLarXiv:1607.02173v12016
Computational bioacoustics with deep learning: a review and roadmap
Dan Stowell
cs.SDeess.ASq-bio.QMarXiv:2112.06725v12021
Towards Interpretable Depression Detection: Linking Acoustic Features to DSM-5 Indicators
Jonas Länzlinger, Katharina O. E. Müller, Burkhard Stiller +1
cs.CLcs.SDeess.ASarXiv:2608.26148v12026
Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores
Eichi Uehara
cs.CLcs.LGcs.SDarXiv:2608.26137v12026
Machine learning in acoustics: theory and applications
Michael J. Bianco, Peter Gerstoft, James Traer +4
eess.SPcs.LGcs.SDarXiv:1905.04418v42019
From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents
Tanmay Laud, Herprit Mahal, Subhabrata Mukherjee
cs.CLcs.AIcs.HCarXiv:2608.26163v12026
Recent Advances in End-to-End Automatic Speech Recognition
Jinyu Li
eess.AScs.AIcs.CLarXiv:2111.01690v22021
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson +1
cs.SDcs.AIcs.LGarXiv:1502.04149v42015
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
Hang Zhou, Yasheng Sun, Wayne Wu +3
cs.CVcs.LGcs.MMarXiv:2104.11116v12021
AudioGen: Textually Guided Audio Generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak +6
cs.SDcs.CLcs.LGarXiv:2209.15352v22022
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy, Vishak Gopal, Ross Cutler +10
eess.AScs.LGcs.SDarXiv:2005.13981v32020
pyannote.audio: neural building blocks for speaker diarization
Hervé Bredin, Ruiqing Yin, Juan Manuel Coria +7
eess.AScs.SDarXiv:1911.01255v12019
A Survey on Neural Speech Synthesis
Xu Tan, Tao Qin, Frank Soong +1
eess.AScs.CLcs.LGarXiv:2106.15561v32021
A Wavenet for Speech Denoising
Dario Rethage, Jordi Pons, Xavier Serra
cs.SDarXiv:1706.07162v32017
AudioPaLM: A Large Language Model That Can Speak and Listen
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen +27
cs.CLcs.AIcs.SDarXiv:2306.12925v12023
Domain-Adaptive ASR for Telephony AI Agents: Fine-tuning Canary Flash Models for Enterprise Contact Center Applications
Chanameth Boonpramuk, Winn Voravuthikunchai, Songpol Bunyang
cs.SDcs.AIarXiv:2608.24916v12026
In defence of metric learning for speaker recognition
Joon Son Chung, Jaesung Huh, Seongkyu Mun +7
eess.AScs.SDarXiv:2003.11982v22020
LPCNet: Improving Neural Speech Synthesis Through Linear Prediction
Jean-Marc Valin, Jan Skoglund
eess.AScs.LGcs.SDarXiv:1810.11846v22018
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
Leonardo Pepino, Pablo Riera, Luciana Ferrer
cs.SDcs.LGeess.ASarXiv:2104.03502v12021
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Sang-gil Lee, Wei Ping, Boris Ginsburg +2
cs.SDcs.CLcs.LGarXiv:2206.04658v22022
Masked Autoencoders that Listen
Po-Yao Huang, Hu Xu, Juncheng Li +5
cs.SDcs.AIcs.LGarXiv:2207.06405v32022
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood, Marriam Nawaz, Khalid Mahmood Malik +2
cs.CRcs.LGcs.SDarXiv:2103.00484v22021
CREPE: A Convolutional Representation for Pitch Estimation
Jong Wook Kim, Justin Salamon, Peter Li +1
eess.AScs.LGcs.SDarXiv:1802.06182v12018
SPECTRA: Subspace-Preserving Embedding Calibration, Transport, and Replay for Fully Few-Shot Class-Incremental Audio Classification
Giries Abu Ayoub, Loay Mualem, Simon Korman
cs.SDcs.AIarXiv:2608.25054v12026
Dissonance Spectrum explicitly models perceptual frequency interactions for better music understanding
Tianle Wang, Xinyi Tong, Liangke Zhao +7
cs.SDcs.AIarXiv:2608.25621v12026
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
Bowen Shi, Wei-Ning Hsu, Kushal Lakhotia +1
eess.AScs.CVcs.SDarXiv:2201.02184v22022
DDSP: Differentiable Digital Signal Processing
Jesse Engel, Lamtharn Hantrakul, Chenjie Gu +1
cs.LGcs.SDeess.ASarXiv:2001.04643v12020
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang
cs.SDcs.AIarXiv:1703.10847v22017
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai +1
cs.SDcs.CLcs.LGarXiv:1711.07128v32017
Dawn of the transformer era in speech emotion recognition: closing the valence gap
Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf +4
eess.AScs.LGcs.SDarXiv:2203.07378v42022
WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern, Joe Antognini, Michael Flynn +5
cs.SDcs.CLcs.LGarXiv:1907.01160v12019
CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
Zhihao Du, Qian Chen, Shiliang Zhang +9
cs.SDcs.AIeess.ASarXiv:2407.05407v22024
AllMusicCaps: Album Reviews as Complementary Supervision for Music CLAP
Pablo Alonso-Jiménez, Xavier Lizarraga-Seijas, Xavier Serra +1
cs.SDarXiv:2608.25244v12026
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang, Jiawei Huang, Dongchao Yang +7
cs.SDcs.LGcs.MMarXiv:2301.12661v12023
Acoustic Echo Control Based on Sound Object Identification for Suppressing Howling Caused by Complicated Acoustic Paths
Osamu Hoshuyama
eess.AScs.SDarXiv:2608.25413v12026
Combining Self-Embedding Audio Watermarking with Ultra-Low-Bitrate Neural Codecs
Yigitcan Özer, Xin Wang, Zhe Zhang +1
cs.SDcs.AIarXiv:2608.25289v12026
Self-Supervised Speech Representation Learning: A Review
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt +9
cs.CLcs.SDeess.ASarXiv:2205.10643v32022
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Gabriel Mittag, Babak Naderi, Assmaa Chehadi +1
eess.AScs.AIcs.LGarXiv:2104.09494v12021
A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography
Yigitcan Özer, Zhe Zhang, Wanying Ge +2
cs.SDcs.AIarXiv:2608.25285v12026
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
Haohe Liu, Yi Yuan, Xubo Liu +7
cs.SDcs.AIcs.MMarXiv:2308.05734v32023
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Yushen Chen, Zhikang Niu, Ziyang Ma +5
eess.AScs.SDarXiv:2410.06885v32024
Cooperative Multi-Agent Reinforcement Learning for Adaptive Aggregation in Semi-Supervised Federated Learning with non-IID Data
Rene Glitza, Luca Becker, Rainer Martin
cs.LGcs.DCcs.SDarXiv:2608.25794v12026
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi, George Fazekas, Mark Sandler +1
cs.NEcs.LGcs.MMarXiv:1609.04243v32016
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
Ali Imran, Iryna Posokhova, Haneya N. Qureshi +6
eess.AScs.LGcs.SDarXiv:2004.01275v62020
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss
Qian Zhang, Han Lu, Hasim Sak +4
eess.AScs.CLcs.SDarXiv:2002.02562v22020
What Do Audio-Visual Synchronization Metrics Actually Measure?
Jai Kumar Sharma, Peeyush Tapadiya
cs.CVcs.MMcs.SDarXiv:2608.25157v12026
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
eess.AScs.CRcs.LGarXiv:2109.00537v12021
Can We Read the Mind of an Audio LLM? A Verbalizable, Multilingual Middle-Layer Workspace
Jiajun Fan, Jingyuan Li, Prashanth Gurunath Shivakumar +8
cs.SDcs.AIcs.CLarXiv:2608.24958v12026
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts, Jesse Engel, Colin Raffel +2
cs.LGcs.SDeess.ASarXiv:1803.05428v52018
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Kaizhi Qian, Yang Zhang, Shiyu Chang +2
eess.AScs.AIcs.LGarXiv:1905.05879v22019
Objects that Sound
Relja Arandjelović, Andrew Zisserman
cs.CVcs.LGcs.MMarXiv:1712.06651v22017

Sound

An Unsupervised Autoregressive Model for Speech Representation Learning

DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors

A multi-device dataset for urban acoustic scene classification

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

A Review of Speaker Diarization: Recent Advances with Deep Learning

Diffsound: Discrete Diffusion Model for Text-to-sound Generation

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

Single-Channel Multi-Speaker Separation using Deep Clustering

Computational bioacoustics with deep learning: a review and roadmap

Towards Interpretable Depression Detection: Linking Acoustic Features to DSM-5 Indicators

Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores

Machine learning in acoustics: theory and applications

From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents

Recent Advances in End-to-End Automatic Speech Recognition

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

AudioGen: Textually Guided Audio Generation

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

pyannote.audio: neural building blocks for speaker diarization

A Survey on Neural Speech Synthesis

A Wavenet for Speech Denoising

AudioPaLM: A Large Language Model That Can Speak and Listen

Domain-Adaptive ASR for Telephony AI Agents: Fine-tuning Canary Flash Models for Enterprise Contact Center Applications

In defence of metric learning for speaker recognition

LPCNet: Improving Neural Speech Synthesis Through Linear Prediction

Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Masked Autoencoders that Listen

Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward

CREPE: A Convolutional Representation for Pitch Estimation

SPECTRA: Subspace-Preserving Embedding Calibration, Transport, and Replay for Fully Few-Shot Class-Incremental Audio Classification

Dissonance Spectrum explicitly models perceptual frequency interactions for better music understanding

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

DDSP: Differentiable Digital Signal Processing

MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

Hello Edge: Keyword Spotting on Microcontrollers

Dawn of the transformer era in speech emotion recognition: closing the valence gap

WHAM!: Extending Speech Separation to Noisy Environments

CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

AllMusicCaps: Album Reviews as Complementary Supervision for Music CLAP

Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

Acoustic Echo Control Based on Sound Object Identification for Suppressing Howling Caused by Complicated Acoustic Paths

Combining Self-Embedding Audio Watermarking with Ultra-Low-Bitrate Neural Codecs

Self-Supervised Speech Representation Learning: A Review

NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Cooperative Multi-Agent Reinforcement Learning for Adaptive Aggregation in Semi-Supervised Federated Learning with non-IID Data

Convolutional Recurrent Neural Networks for Music Classification

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

What Do Audio-Visual Synchronization Metrics Actually Measure?

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Can We Read the Mind of an Audio LLM? A Verbalizable, Multilingual Middle-Layer Workspace

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Objects that Sound