Efficient AI-Powered Audio-to-Text Transcription: A GUI-Enhanced Stack with EXE Build for Innovation in Communications
B. Subbulakshmi, M. Nirmala Devi, M. Sivakumar, Varshini Sri A, S K Varsha, Kaviya Meena T · 2023
In today's digital age, the exchange of information via audio recordings plays a pivotal role in various communication channels, ranging from educational platforms to corporate meetings. Efficiently harnessing this audio data for improved comprehension and accessibility is a quintessential challenge in the realm of artificial intelligence (AI)-enabled communication. This presentation unveils an innovative solution that combines AI, audio processing, and speech recognition to revolutionize the way we transcribe spoken content into text. Our system employs a sophisticated stack of technologies to automate audio-to-text transcription, catering to diverse communication scenarios. Leveraging the power of Google's speech recognition service, the system intelligently segments audio recordings into manageable chunks based on silence intervals. These chunks are then subjected to speech recognition, producing highly accurate transcriptions.