SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. - Hui Cheng; Jingen Liu; Saad Ali; Omar Javed; Qian Yu; Amir Tamrakar; Ajay Divakaran; Harpreet S. Sawhney; R. Manmatha; James Allan; Alexander G. Hauptmann; Mubarak Shah; et al. (TRECVID, 2012)

Lost in segmentation: Three approaches for speech/non-speech detection in consumer-produced videos. - Benjamin Elizalde; Gerald Friedland (ICME, 2013)

Audio Concept Ranking for Video Event Detection on User-Generated Content. - Benjamin Elizalde; Mirco Ravanelli; Gerald Friedland (SLAM@INTERSPEECH, 2013)

An i-Vector Representation of Acoustic Environments for Audio-Based Video Event Detection on User Generated Content. - Benjamin Elizalde; Howard Lei; Gerald Friedland (ISM, 2013)

Audio concept classification with Hierarchical Deep Neural Networks. - Mirco Ravanelli; Benjamin Elizalde; Karl Ni; Gerald Friedland (EUSIPCO, 2014)

Audio-concept features and hidden Markov models for multimedia event detection. - Benjamin Elizalde; Mirco Ravanelli; Karl Ni; Damian Borth; Gerald Friedland (SLAM@INTERSPEECH, 2014)

The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. - Jaeyoung Choi 002; Bart Thomee; Gerald Friedland; Liangliang Cao; Karl Ni; Damian Borth; Benjamin Elizalde; Luke R. Gottlieb; Carmen Carrano; Roger A. Pearce; Douglas Poland (GeoMM, 2014)

Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. - Khalid Ashraf; Benjamin Elizalde; Forrest N. Iandola; Matthew W. Moskewicz; Julia Bernd; Gerald Friedland; Kurt Keutzer (ICMR, 2015)

Kickstarting the Commons: The YFCC100M and the YLI Corpora. - Julia Bernd; Damian Borth; Carmen Carrano; Jaeyoung Choi 002; Benjamin Elizalde; Gerald Friedland; Luke R. Gottlieb; Karl Ni; Roger A. Pearce; Douglas Poland; Khalid Ashraf; David A. Shamma; et al. (MMCommons@ACM Multimedia, 2015)

Insights into Audio-Based Multimedia Event Classification with Neural Networks. - Mirco Ravanelli; Benjamin Elizalde; Julia Bernd; Gerald Friedland (MMCommons@ACM Multimedia, 2015)

The YLI-MED Corpus: Characteristics, Procedures, and Plans. - Julia Bernd; Damian Borth; Benjamin Elizalde; Gerald Friedland; Heather Gallagher; Luke R. Gottlieb; Adam Janin; Sara Karabashlieva; Jocelyn Takahashi; Jennifer Won (CoRR, 2015)

The New Data and New Challenges in Multimedia Research. - Bart Thomee; David A. Shamma; Gerald Friedland; Benjamin Elizalde; Karl Ni; Douglas Poland; Damian Borth; Li-Jia Li 001 (CoRR, 2015)

City-Identification of Flickr Videos Using Semantic Acoustic Features. - Benjamin Elizalde; Guan-Lin Chao; Ming Zeng 009; Ian R. Lane (BigMM, 2016)

Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording. - Benjamin Elizalde; Anurag Kumar 003; Ankit Shah 001; Rohan Badlani; Emmanuel Vincent 001; Bhiksha Raj; Ian R. Lane (DCASE, 2016)

YFCC100M: the new data in multimedia research. - Bart Thomee; David A. Shamma; Gerald Friedland; Benjamin Elizalde; Karl Ni; Douglas Poland; Damian Borth; Li-Jia Li 001 (Commun. ACM, 2016)

AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis. - Sebastian Säger; Damian Borth; Benjamin Elizalde; Christian Schulze 001; Bhiksha Raj; Ian R. Lane; Andreas Dengel 001 (CoRR, 2016)

An Approach for Self-Training Audio Event Detectors Using Web Data. - Ankit Shah 001; Rohan Badlani; Anurag Kumar 003; Benjamin Elizalde; Bhiksha Raj (CoRR, 2016)

DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features. - Abelino Jimenez; Benjamin Elizalde; Bhiksha Raj (DCASE, 2017)

DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System. - Annamaria Mesaros; Toni Heittola; Aleksandr Diment; Benjamin Elizalde; Ankit Shah 001; Emmanuel Vincent 001; Bhiksha Raj; Tuomas Virtanen (DCASE, 2017)

An approach for self-training audio event detectors using web data. - Benjamin Elizalde; Ankit Shah 001; Siddharth Dalmia; Min Hun Lee; Rohan Badlani; Anurag Kumar 003; Bhiksha Raj; Ian R. Lane (EUSIPCO, 2017)

Audio Content Based Geotagging in Multimedia. - Anurag Kumar 003; Benjamin Elizalde; Bhiksha Raj (INTERSPEECH, 2017)

Framework for Evaluation of Sound Event Detection in Web Videos. - Rohan Badlani; Ankit Shah 001; Benjamin Elizalde; Anurag Kumar 003; Bhiksha Raj (ICASSP, 2018)

Acoustic Scene Classification Using Discrete Random Hashing for Laplacian Kernel Machines. - Abelino Jimenez; Benjamin Elizalde; Bhiksha Raj (ICASSP, 2018)

Content-Based Representations of Audio Using Siamese Neural Networks. - Pranay Manocha; Rohan Badlani; Anurag Kumar 003; Ankit Shah 001; Benjamin Elizalde; Bhiksha Raj (ICASSP, 2018)

NELS - Never-Ending Learner of Sounds. - Benjamin Elizalde; Rohan Badlani; Ankit Shah 001; Anurag Kumar 003; Bhiksha Raj (CoRR, 2018)

AudioPairBank: towards a large-scale tag-pair-based audio content analysis. - Sebastian Säger; Benjamin Elizalde; Damian Borth; Christian Schulze 001; Bhiksha Raj; Ian R. Lane (EURASIP J. Audio Speech Music. Process., 2018)

Cross Modal Audio Search and Retrieval with Joint Embeddings Based on Text and Audio. - Benjamin Elizalde; Shuayb Zarar; Bhiksha Raj (ICASSP, 2019)

Sound Event Detection in the DCASE 2017 Challenge. - Annamaria Mesaros; Aleksandr Diment; Benjamin Elizalde; Toni Heittola; Emmanuel Vincent 001; Bhiksha Raj; Tuomas Virtanen (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Multi-Label Sound Event Retrieval Using A Deep Learning-Based Siamese Structure With A Pairwise Presence Matrix. - Jianyu Fan; Eric Nichols; Daniel Tompkins; Ana Elisa Méndez Méndez; Benjamin Elizalde; Philippe Pasquier (ICASSP, 2020)

Never-Ending Learning of Sounds. - Benjamin Elizalde (2020)

Identifying Actions for Sound Event Classification. - Benjamin Elizalde; Radu Revutchi; Samarjit Das; Bhiksha Raj; Ian R. Lane; Laurie M. Heller (WASPAA, 2021)

COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge. - Benjamin Elizalde; Daniel Tompkins (CoRR, 2021)

Describing emotions with acoustic property prompts for speech emotion recognition. - Hira Dhamyal; Benjamin Elizalde; Soham Deshmukh; Huaming Wang; Bhiksha Raj; Rita Singh (CoRR, 2022)

CLAP Learning Audio Concepts from Natural Language Supervision. - Benjamin Elizalde; Soham Deshmukh; Mahmoud Al Ismail; Huaming Wang (ICASSP, 2023)

Multi-View Learning for Speech Emotion Recognition with Categorical Emotion, Categorical Sentiment, and Dimensional Scores. - Daniel Tompkins; Dimitra Emmanouilidou; Soham Deshmukh; Benjamin Elizalde (ICASSP, 2023)

Audio Retrieval with WavText5K and CLAP Training. - Soham Deshmukh; Benjamin Elizalde; Huaming Wang (INTERSPEECH, 2023)

Pengi: An Audio Language Model for Audio Tasks. - Soham Deshmukh; Benjamin Elizalde; Rita Singh; Huaming Wang (NeurIPS, 2023)

Synergy between human and machine approaches to sound/scene recognition and processing: An overview of ICASSP special session. - Laurie M. Heller; Benjamin Elizalde; Bhiksha Raj; Soham Deshmukh (CoRR, 2023)

Training Audio Captioning Models without Audio. - Soham Deshmukh; Benjamin Elizalde; Dimitra Emmanouilidou; Bhiksha Raj; Rita Singh; Huaming Wang (ICASSP, 2024)

Prompting Audios Using Acoustic Properties for Emotion Representation. - Hira Dhamyal; Benjamin Elizalde; Soham Deshmukh; Huaming Wang; Bhiksha Raj; Rita Singh (ICASSP, 2024)

Natural Language Supervision For General-Purpose Audio Representations. - Benjamin Elizalde; Soham Deshmukh; Huaming Wang (ICASSP, 2024)

PAM: Prompting Audio-Language Models for Audio Quality Assessment. - Soham Deshmukh; Dareen Alharthi; Benjamin Elizalde; Hannes Gamper; Mahmoud Al Ismail; Rita Singh; Bhiksha Raj; Huaming Wang (INTERSPEECH, 2024)

NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription. - Alon Vinnikov; Amir Ivry; Aviv Hurvitz; Igor Abramovski; Sharon Koubi; Ilya Gurvich; Shai Peer; Xiong Xiao; Benjamin Martinez Elizalde; Naoyuki Kanda; Xiaofei Wang 009; Shalev Shaer; et al. (INTERSPEECH, 2024)

Audio Entailment: Assessing Deductive Reasoning for Audio Understanding. - Soham Deshmukh; Shuo Han; Hazim T. Bukhari; Benjamin Elizalde; Hannes Gamper; Rita Singh; Bhiksha Raj (AAAI, 2025)

Discrete Audio Tokens: More Than a Survey! - Pooneh Mousavi; Gallil Maimon; Adel Moumen; Darius Petermann; Jiatong Shi; Haibin Wu; Haici Yang; Anastasia Kuznetsova; Artem Ploujnikov; Ricard Marxer; Bhuvana Ramabhadran; Benjamin Elizalde; et al. (CoRR, 2025)