UM Research Repository
metadata only
CC BY-NC-ND 4.0
Malay children vowel recognition using feed-forward back propagation and Elman neural networks.
Although speech recognition plays a vital role in the modern communication systems, only few studies have investigated speech recognition of children. Children’s speech recognition is more challenging than adult’s speech recognition; because of the dynamic and inconsistent nature of children’s speec
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
- Child-Adapted Structured Phonological Representations for Interpretable Speech Sound Analysis#1155787
- Adaptation of Pediatric Speech Audiometry Tests Into Other Languages#1352139
- Monitoring Spoken Language in Infants and Toddlers who are Deaf or Hard of Hearing using the LENA Developmental Snapshot#651509
- SEA-SpeechBench: A Large-Scale Multitask Benchmark for Speech Understanding Across Southeast Asia#988004
- Foundations for pediatric vocal biomarkers: age-aware phoneme recognition and latent-space error analysis.#469175
Record · ID 1405894
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