arXiv cs.CL· Md Asif Akram, Arif Faisal, Sakir Hossain Faruque, Sharun Akter Khushbu·· 2 天前AI 评分18
基于 Transformer 的孟加拉语语音早期识别系统实现句子自动补全
Automatic Sentence Completion Using Bengali Audio Speech with a Transformer-Based Early Speech Recognition System
AI 导读
一项研究提出集成系统，通过孟加拉语语音和文本分析检测痴呆症迹象，并在对话中提供句子自动补全支持。研究提取与认知衰退相关的声学特征，采用基于 Transformer 的模型将语音转写为文本，评估多种 ML 和 DL 模型，其中 LSTM 架构在建模语音和语言上下文模式方面表现突出。句子补全任务采用带注意力机制的 Bi-LSTM 序列学习模型，逐步补全对话中部分表达的孟加拉语句子。
正文 · 原文
Abstract:Dementia severely impairs communication abilities and turns everyday conversations into challenging experiences. Individuals affected by dementia frequently struggle to express their thoughts or complete sentences, making it difficult for family members and caregivers to understand their needs. This study proposes a novel approach to assist dementia patients by developing an integrated system that detects signs of dementia through Bangla speech and text analysis and provides sentence auto-completion support during conversations. To achieve this, recorded voices from individuals with and without dementia were analysed, and key acoustic features were extracted to capture vocal patterns associated with cognitive decline. A transformer-based model was employed to transcribe voice signals into text for linguistic analysis. In the classification task, several Machine Learning (ML) and Deep Learning (DL) models were evaluated using both acoustic and textual representations, and the LSTM model architectures demonstrated strong capabilities for modelling contextual patterns in speech and language data. For the sentence auto-completion task, a sequential learning model based on a Bidirectional LSTM (Bi-LSTM) network with an attention mechanism was developed to sequentially complete partially expressed Bangla sentences during conversation. This research bridges the gap in dementia analysis in an underrepresented language and implements a sentence auto-completion framework for cognitive disorders.
| Comments: | 18 pages, 10 figures |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.21164 [cs.CL] |
| (or arXiv:2610.21164v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.21164 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Sakir Hossain Faruque [view email]
[v1]
Thu, 15 Oct 2026 03:24:24 UTC (1,139 KB)
来源：arXiv cs.CL · arxiv.org