Hear Your Code Fail, Voice-Assisted Debugging for Python Article Swipe
Solmaz Amiri
,
Md. Mainul Islam
,
Sayed Mahbub Hasan Amiri
,
Mohammad Abdullah Al Mamun
,
Sk. Humaun Kabir
,
Naznin Akter
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2507.15007
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2507.15007
This research introduces an innovative voice-assisted debugging plugin for Python that transforms silent runtime errors into actionable audible diagnostics. By implementing a global exception hook architecture with pyttsx3 text-to-speech conversion and Tkinter-based GUI visualization, the solution delivers multimodal error feedback through parallel auditory and visual channels. Empirical evaluation demonstrates 37% reduced cognitive load (p<0.01, n=50) compared to traditional stack-trace debugging, while enabling 78% faster error identification through vocalized exception classification and contextualization. The system achieves sub-1.2 second voice latency with under 18% CPU overhead during exception handling, vocalizing error types and consequences while displaying interactive tracebacks with documentation deep links. Criteria validate compatibility across Python 3.7+ environments on Windows, macOS, and Linux platforms. Needing only two lines of integration code, the plugin significantly boosts availability for aesthetically impaired designers and supports multitasking workflows through hands-free error medical diagnosis. Educational applications show particular promise, with pilot studies indicating 45% faster debugging skill acquisition among novice programmers. Future development will incorporate GPT-based repair suggestions and real-time multilingual translation to further advance auditory debugging paradigms. The solution represents a fundamental shift toward human-centric error diagnostics, bridging critical gaps in programming accessibility while establishing new standards for cognitive efficiency in software development workflows.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2507.15007
- https://arxiv.org/pdf/2507.15007
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4416839780
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4416839780Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2507.15007Digital Object Identifier
- Title
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Hear Your Code Fail, Voice-Assisted Debugging for PythonWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-07-20Full publication date if available
- Authors
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Solmaz Amiri, Md. Mainul Islam, Sayed Mahbub Hasan Amiri, Mohammad Abdullah Al Mamun, Sk. Humaun Kabir, Naznin AkterList of authors in order
- Landing page
-
https://arxiv.org/abs/2507.15007Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2507.15007Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2507.15007Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
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