Speech to Text Conversion using Django

Speech to Text using Django

ABSTRACT:

As science and technology progressed, an automated speech–to–text (STT) conversion system was developed to create a visual text format of the speech. This technology enables people with hearing impairments to communicate in a different way, understand voice communication, and follow instructions using their visual ability. In some cases, visual ability outperforms listening ability, particularly in long–distance communication, and speech–to–text conversion serves as an important tool in such cases. Speech–to–text research has discovered a new idea to assist handicapped people with voice–prompted writing tools. Speech recognition research for a Web Framework is still in its early stages. Speech–to–text conversion necessitates a significant amount of progressive work. This project can be used as a reference for interested researchers working on speech–to–text conversion systems because it contains enough information to develop a basic understanding of the speech–to–text system in a Web Framework.

PROJECT OUTPUT VIDEO:

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS: 

• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Monitor : 15’’ LED
• Input Devices : Keyboard, Mouse
• Ram : 4 GB

SOFTWARE REQUIREMENTS: 

• Operating system : Windows 10.
• Coding Language : Python 3.8
• Web Framework : Django
• Database : DB Browser (SQLite)