https://moderaitor.app/
moderAItor - AI-Powered Hate Speech Detection & Content Moderation
moderAItor is an AI-powered hate speech detection tool for media organizations and civil society. Analyze public comments on Facebook, Instagram, and YouTube...
ai poweredhate speechdetection contentmoderation
https://app.resemble.ai/
Resemble AI - AI Speech & Detection Models
Create realistic AI voices, transform speech, and detect AI-generated audio, video, and images with Resemble AI.
resemble aispeech detectionmodels
https://arxiv.org/abs/1908.04531v2
[1908.04531v2] Offensive Language and Hate Speech Detection for Danish
Abstract page for arXiv paper 1908.04531v2: Offensive Language and Hate Speech Detection for Danish
offensive languagehate speech1908detectiondanish
https://www.manning.com/liveproject/hate-speech-detection
Hate Speech Detection - Rohan Khilnani
Generating precise classifications from social media data is a challenge: build a full NLP pipeline using the BERT family of models and flag hateful posts with...
hate speechdetectionrohan
https://arxiv.org/html/2508.04913v1
Advancing Hate Speech Detection with Transformers: Insights from the MetaHate
hate speechfrom theadvancingdetectiontransformers
https://deepai.org/publication/leveraging-transformers-for-hate-speech-detection-in-conversational-code-mixed-tweets
Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets | DeepAI
Dec 18, 2021 - 12/18/21 - In the current era of the internet, where social media platforms are easily accessible for everyone, people often have to deal wit...
hate speech
https://arxiv.org/html/2603.19279v1
Multilingual Hate Speech Detection and Counterspeech Generation: A Comprehensive Survey and...
hate speechmultilingualdetectioncounterspeechgeneration
https://aclanthology.org/2024.lrec-main.564/
Evaluating ChatGPT against Functionality Tests for Hate Speech Detection - ACL Anthology
Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources...
functionality testshate speechevaluatingchatgpt
https://aclanthology.org/2024.acl-long.488/
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data - ACL...
Manuel Tonneau, Pedro Quinta De Castro, Karim Lasri, Ibrahim Farouq, Lakshmi Subramanian, Victor Orozco-Olvera, Samuel Fraiberger. Proceedings of the 62nd...
hate speech
https://www.biometricupdate.com/202106/secure-voice-biometrics-deepfake-speech-detection-and-asvspoof
Secure voice biometrics: deepfake speech detection and ASVspoof | Biometric Update
Jul 26, 2022 - Automatic speaker verification (ASV) is an efficient approach to biometric authentication yet vulnerable to spoofing or presentation attacks (PAs).
secure voicespeech detectionbiometricsdeepfakeasvspoof
https://rapidapi.com/unicornNLP/api/hate-speech-detection-for-user-generated-content/tutorials
Hate Speech Detection for User-generated Content
hate speechfor userdetectiongeneratedcontent
https://www.gadgets360.com/social-networking/news/facebook-improving-hate-speech-detection-ahead-of-myanmar-election-2288520
Facebook Improving Hate Speech Detection Ahead of Myanmar Election | Technology News
Sep 1, 2020 - Facebook said on Tuesday that it was preparing for Myanmar's general election in November by improving the detection and removal of hate speech and content...
hate speechahead ofelection technologyfacebookimproving
https://deepai.org/publication/power-of-explanations-towards-automatic-debiasing-in-hate-speech-detection
Power of Explanations: Towards automatic debiasing in hate speech detection | DeepAI
Sep 7, 2022 - 09/07/22 - Hate speech detection is a common downstream application of natural language processing (NLP) in the real world. In spite of the i...
hate speechpowerexplanationstowardsautomatic
https://www.amazon.science/publications/domain-specific-utterance-end-point-detection-for-speech-recognition
Domain-Specific Utterance End-Point Detection for Speech Recognition - Amazon Science
The task of automatically detecting the end of a device-directed user request is particularly challenging in case of switching short command and long free-form...
domain specificend pointspeech recognitionutterance
https://aclanthology.org/2024.propor-1.31/
Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models...
Gabriel Assis, Annie Amorim, Jonnathan Carvalho, Daniel de Oliveira, Daniela Vianna, Aline Paes. Proceedings of the 16th International Conference on...
low resource settings
https://arxiv.org/abs/2111.01320
[2111.01320] AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with...
Abstract page for arXiv paper 2111.01320: AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence
https://arxiv.org/abs/2507.16220v2
[2507.16220v2] LENS-DF: Deepfake Detection and Temporal Localization for Long-Form Noisy Speech
Abstract page for arXiv paper 2507.16220v2: LENS-DF: Deepfake Detection and Temporal Localization for Long-Form Noisy Speech
https://www.york.ac.uk/language-linguistic-science/about/news/2026/deepfake-detection-challenge/
York forensic speech science team commended at Deepfake Detection Challenge - Department of...
Researchers from the department tested their audio deepfake detection skills in operationally realistic scenarios at Microsoft London.
forensic speech science
https://www.mail-archive.com/mt-list@eamt.org/msg03527.html
[Mt-list] International Webinar: "Polarization and Hate Speech Detection in Social Media"
international webinar
https://aclanthology.org/2022.ltedi-1.24/
LPS@LT-EDI-ACL2022:An Ensemble Approach about Hope Speech Detection - ACL Anthology
Yue Zhu. Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion. 2022.
https://pmc.ncbi.nlm.nih.gov/articles/PMC10722243/
Guiding Mothers About Early Detection and Addressing Speech Delay and Disorders Among Children in a...
Introduction Speech is one of the most important milestones to be achieved by a growing child. The significance of being informed about different pediatric...
https://aclanthology.org/2022.coling-1.311/
K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment - ACL Anthology
Jean Lee, Taejun Lim, Heejun Lee, Bogeun Jo, Yangsok Kim, Heegeun Yoon, Soyeon Caren Han. Proceedings of the 29th International Conference on Computational...
https://arxiv.org/abs/2404.15143v2
[2404.15143v2] Every Breath You Don't Take: Deepfake Speech Detection Using Breath
Abstract page for arXiv paper 2404.15143v2: Every Breath You Don't Take: Deepfake Speech Detection Using Breath
you don tevery breath
https://deepai.org/publication/token-level-speaker-change-detection-using-speaker-difference-and-speech-content-via-continuous-integrate-and-fire
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous...
Nov 17, 2022 - 11/17/22 - In multi-talker scenarios such as meetings and conversations, speech processing systems are usually required to segment the audio ...
change detection
https://pmc.ncbi.nlm.nih.gov/articles/PMC12078268/
Protocol for detection and monitoring of post-stroke cognitive impairment through AI-powered speech...
Post-stroke cognitive impairment (PSCI) affects up to 75% of stroke survivors but remains challenging to detect with traditional neuropsychological...
https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2011.00176/full
Frontiers | Facilitated Auditory Detection for Speech Sounds
If it is well known that knowledge facilitates higher cognitive functions, such as visual and auditory word recognition, little is known about the influence ...
frontiersfacilitatedauditorydetectionspeech
https://www.ets.org/research/policy_research_reports/publications/chapter/2014/jswp.html
Similarity-Based Non-Scorable Response Detection for Automated Speech Scoring
similaritybasednonresponsedetection
https://www.amazon.science/publications/vadoi-voice-activity-detection-overlapping-inference-for-end-to-end-long-form-speech-recognition
VADOI: Voice-activity-detection overlapping inference for end-to-end long-form speech recognition -...
While end-to-end models have shown great success on the Automatic Speech Recognition task, performance degrades severely when target sentences are long-form....
voice activity detection
https://aclanthology.org/2022.naacl-main.347/
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection -...
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein. Proceedings of the 2022 Conference of the North American Chapter of the Association for...
the case of
https://www.amazon.science/publications/utility-preserving-privacy-enabled-speech-embeddings-for-emotion-detection
Utility-preserving privacy-enabled Speech embeddings for emotion detection - Amazon Science
Audio privacy has been undertaken using adversarial task training or adversarial models based on GANs, where the models also suppress scoring of other...
emotion detectionutilitypreservingprivacyenabled
https://www.sri.com/publication/speech-natural-language-pubs/enhanced-end-of-turn-detection-for-speech-to-a-personal-assistant/
Enhanced end-of-turn detection for speech to a personal assistant - SRI
Apr 27, 2023 - We collected and compared two elicitation corpora differing in naturalness and task complexity.
end of
https://aclanthology.org/N01-1016/
Edit Detection and Parsing for Transcribed Speech - ACL Anthology
Eugene Charniak, Mark Johnson. Second Meeting of the North American Chapter of the Association for Computational Linguistics. 2001.
editdetectionparsingtranscribedspeech
https://www.atlantis-press.com/proceedings/icimm-15/25691
Speech Endpoint Detection Based on EMD and Higher Order Statistics in Noisy Environments | Atlantis...
Accurate endpoint detection is crucial for speech recognition accuracy. This paper presents a new technique for speech endpoint detection in a noisy...
https://www.sri.com/publication/speech-natural-language-pubs/multispeaker-speech-activity-detection-for-the-icsi-meeting-recorder/
Multispeaker Speech Activity Detection for the ICSI Meeting Recorder - SRI
Mar 7, 2023 - A baseline HMM speech activity detector has been extended to use mixtures of Gaussians to achieve robustness for different speakers under different conditions.
activity detectionfor thespeechicsimeeting
https://www.global.toshiba/ww/technology/corporate/rdc/rd/topics/20/2002-01.html
Toshiba's Speech Recognition AI Technology is the World's First for High Speed Keyword Detection...
https://openreview.net/forum?id=AEtndraI8jr5
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection...
Pre-training large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. Although this method has...
https://aclanthology.org/2023.emnlp-main.577/
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection - ACL Anthology
Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
learningcospeechgesture
https://arxiv.org/abs/2107.12212v2
[2107.12212v2] Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection
Abstract page for arXiv paper 2107.12212v2: Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection
architecture search
https://arxiv.org/abs/2505.23619v1
[2505.23619v1] Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Abstract page for arXiv paper 2505.23619v1: Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
few shotspeech deepfake
https://aclanthology.org/2024.findings-eacl.55/
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection - ACL Anthology
Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty. Findings of the Association for Computational Linguistics: EACL 2024. 2024.
https://openreview.net/forum?id=jI_BbL-qjJN
An Information Retrieval Approach to Building Datasets for Hate Speech Detection | OpenReview
Building a benchmark dataset for hate speech detection presents various challenges. Firstly, because hate speech is relatively rare, random sampling of tweets...
an information