cs.CY

Papers

• PICACO: Pluralistic In-Context Value Alignment of LLMs via Total Correlation Optimization (2026)
  Han Jiang et al.
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• On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs (2026)
  Faeze Ghorbanpour et al.
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• Dialogue-Based Simulation For Cultural Awareness Training (2021)
  Sodiq Adewole et al.
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• Implementation of Google Assistant & Amazon Alexa on Raspberry Pi (2024)
  Shailesh D. Arya et al.
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• Adaptive music: Automated music composition and distribution (2022)
  David Daniel Albarrac\'in Molina
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• Bias in Automated Speaker Recognition (2022)
  Wiebke Toussaint Hutiri and Aaron Ding
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• 'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube (2022)
  Krithika Ramesh et al.
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• Design Guidelines for Inclusive Speaker Verification Evaluation Datasets (2022)
  Wiebke Toussaint Hutiri et al.
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• Towards Evaluation of Autonomously Generated Musical Compositions: A Comprehensive Survey (2022)
  Daniel Kvak
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• The SPACE THEA Project (2022)
  Martin Spathelf and Oliver Bendel
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• State of the Art of Audio- and Video-Based Solutions for AAL (2022)
  Slavisa Aleksic et al.
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• Global Performance Disparities Between English-Language Accents in Automatic Speech Recognition (2023)
  Alex DiChristofano et al.
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• Large scale analysis of gender bias and sexism in song lyrics (2023)
  Lorenzo Betti et al.
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• Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward (2022)
  Awais Khan et al.
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• Checks and Strategies for Enabling Code-Switched Machine Translation (2022)
  Thamme Gowda et al.
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• PolyHope: Two-Level Hope Speech Detection from Tweets (2022)
  Fazlourrahman Balouchzahi and Grigori Sidorov and Alexander Gelbukh
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• Hey ASR System! Why Aren't You More Inclusive? Automatic Speech Recognition Systems' Bias and Proposed Bias Mitigation Techniques. A Literature Review (2022)
  Mikel K. Ngueajio and Gloria Washington
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• The Casual Conversations v2 Dataset (2023)
  Bilal Porgali et al.
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• Right the docs: Characterising voice dataset documentation practices used in machine learning (2023)
  Kathy Reid and Elizabeth T. Williams
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• Can Voice Assistants Sound Cute? Towards a Model of Kawaii Vocalics (2023)
  Katie Seaborn et al.
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• Considerations for Ethical Speech Recognition Datasets (2023)
  Orestis Papakyriakopoulos et al.
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• LoopBoxes -- Evaluation of a Collaborative Accessible Digital Musical Instrument (2023)
  Andreas F\"orster and Alarith Uhde and Mathias Komesker and Christina Komesker and Irina Schmidt
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• AfriNames: Most ASR models "butcher" African Names (2023)
  Tobi Olatunji et al.
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• Challenges and Opportunities for the Design of Smart Speakers (2023)
  Tao Long et al.
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• Beyond Neural-on-Neural Approaches to Speaker Gender Protection (2023)
  Loes van Bemmel et al.
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• Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos (2023)
  Ashwin Rao
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• The Ethical Implications of Generative Audio Models: A Systematic Literature Review (2023)
  Julia Barnett
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• Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model (2023)
  Yuezhou Zhang et al.
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• The Biased Journey of MSD_AUDIO.ZIP (2023)
  Haven Kim et al.
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• Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection (2023)
  Awais Khan et al.
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• Beyond Fairness: Age-Harmless Parkinson's Detection via Voice (2023)
  Yicheng Wang et al.
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• AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning (2023)
  Giovanni Bindi et al.
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• Data Center Audio/Video Intelligence on Device (DAVID) -- An Edge-AI Platform for Smart-Toys (2023)
  Gabriel Cosache et al.
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• Voice Anonymization for All -- Bias Evaluation of the Voice Privacy Challenge Baseline System (2023)
  Anna Leschanowsky et al.
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• Detecting anxiety from short clips of free-form speech (2023)
  Prabhat Agarwal et al.
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• Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators (2024)
  Wiebke Hutiri et al.
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• The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese (2024)
  Ajinkya Kulkarni et al.
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• Careless Whisper: Speech-to-Text Hallucination Harms (2024)
  Allison Koenecke et al.
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• Beyond Voice Assistants: Exploring Advantages and Risks of an In-Car Social Robot in Real Driving Scenarios (2024)
  Yuanchao Li et al.
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• Avoiding an AI-imposed Taylor's Version of all music history (2024)
  Nick Collins and Mick Grierson
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• ToXCL: A Unified Framework for Toxic Speech Detection and Explanation (2024)
  Nhat M. Hoang et al.
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• Coimagining the Future of Voice Assistants with Cultural Sensitivity (2024)
  Katie Seaborn et al.
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• Voice EHR: Introducing Multimodal Audio Data for Health (2024)
  James Anibal et al.
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• Qualitative Approaches to Voice UX (2024)
  Katie Seaborn et al.
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• Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech (2024)
  Dena Mujtaba et al.
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• FairLENS: Assessing Fairness in Law Enforcement Speech Recognition (2024)
  Yicheng Wang et al.
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• Emotion Manipulation Through Music -- A Deep Learning Interactive Visual Approach (2024)
  Adel N. Abdalla et al.
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• ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs (2024)
  Ahmed Heakl et al.
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• Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs (2024)
  Arpan Dasgupta et al.
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• Limits to Predicting Online Speech Using Large Language Models (2026)
  Mina Remeli et al.
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