DigitalCommons@Kennesaw State University
metadata only
Multimodal Speech-Based Dementia Detection Using wav2vec2 and Demographic Features
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Experimental Techniques for Early Identification of Autism#839451
- BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audio#1105723
- Beyond Short Segments : Expanding Speaker Embeddings with Vector Archives#1051500
- Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment#1141403
- Long-Tail Rebalancing for Non-Verbal Vocalization-Aware ASR: A Track~1 System for the NVVSpeech Challenge#1049203
Record · ID 168978
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive