iPhone App - Offline Speech Recognition - Github code exists
Budget: $30 – $250 USD
We are looking for a mobile speech recognition app to be developed and installed in the AppStore out of existing code.
Please use implement this existing code as reference:
https://github.com/bjnortier/whisper-ios-demo (languages used: C 81.9%, C++ 17.1%, Swift 1.0%)
This technology was also used in this app:
https://apps.apple.com/za/app/hello-transcribe/id6443919768
Which in turn is based on this Github repository:
https://github.com/ggerganov/whisper.cpp
Demonstration here: https://github.com/openai/whisper/discussions/407
Which again is based on this OpenAI technology:
https://github.com/openai/whisper
- The app has to work offline
- Therefore no APIs to outside speech recognition services allowed
Only freelancers with prior experience in speech recognition will be considered.
There will be no milestones, payment only after delivery of a fully working app.
Ideal Skills and Experience:
- Proficiency in C#, C, C++ programming language
- Experience in mobile app development for both iOS and Android platforms
- Strong expertise in speech recognition technologies.
- Experience with mobile app design and user interface development.
- Ability to work independently and meet project deadlines.
- A track record of developing similar applications is a plus.
- Fluent in English for effective communication.
The selected freelancer will be responsible for the following tasks:
- Design and develop a mobile application for for iPhone devices
- Implement speech recognition functionality for English and various English dialects.
- Ensure accurate and real-time speech-to-text conversion.
- The app has to work offline
- Therefore no APIs to outside speech recognition services allowed
- The app has to work offline
- Therefore no APIs to outside speech recognition services allowed
- Optimize the application for performance and user experience.
- Provide a user-friendly interface for easy interaction.
- Include a feature for copying transcribed text out of the App.
- Implement any necessary quality control measures to enhance accuracy.
- Ensure compatibility with a wide range of Android and iPhone devices and versions.
- Deliver a fully functional and bug-free application.
Deliverables:
- A working iPhone application with speech recognition functionality.
- Source code and project files.
- Documentation on how to use and maintain the application.
Budget:
The budget for this project is set at $150.- USD. Please submit your proposal
How to Apply:
Interested freelancers are invited to submit their proposals, including their relevant experience and timeline for this project. We will review all proposals and select the most qualified candidate to complete this project successfully.
We look forward to receiving your proposals and working with a talented freelancer to bring this speech recognition app to life. If you have any questions or need further clarification, please don't hesitate to reach out. If the experience and product was excellent, we will give next projects to the freelancer.
Please use implement this existing code as reference:
https://github.com/bjnortier/whisper-ios-demo (languages used: C 81.9%, C++ 17.1%, Swift 1.0%)
This technology was also used in this app:
https://apps.apple.com/za/app/hello-transcribe/id6443919768
Which in turn is based on this Github repository:
https://github.com/ggerganov/whisper.cpp
Demonstration here: https://github.com/openai/whisper/discussions/407
Which again is based on this OpenAI technology:
https://github.com/openai/whisper
- The app has to work offline
- Therefore no APIs to outside speech recognition services allowed
Only freelancers with prior experience in speech recognition will be considered.
There will be no milestones, payment only after delivery of a fully working app.
Ideal Skills and Experience:
- Proficiency in C#, C, C++ programming language
- Experience in mobile app development for both iOS and Android platforms
- Strong expertise in speech recognition technologies.
- Experience with mobile app design and user interface development.
- Ability to work independently and meet project deadlines.
- A track record of developing similar applications is a plus.
- Fluent in English for effective communication.
The selected freelancer will be responsible for the following tasks:
- Design and develop a mobile application for for iPhone devices
- Implement speech recognition functionality for English and various English dialects.
- Ensure accurate and real-time speech-to-text conversion.
- The app has to work offline
- Therefore no APIs to outside speech recognition services allowed
- The app has to work offline
- Therefore no APIs to outside speech recognition services allowed
- Optimize the application for performance and user experience.
- Provide a user-friendly interface for easy interaction.
- Include a feature for copying transcribed text out of the App.
- Implement any necessary quality control measures to enhance accuracy.
- Ensure compatibility with a wide range of Android and iPhone devices and versions.
- Deliver a fully functional and bug-free application.
Deliverables:
- A working iPhone application with speech recognition functionality.
- Source code and project files.
- Documentation on how to use and maintain the application.
Budget:
The budget for this project is set at $150.- USD. Please submit your proposal
How to Apply:
Interested freelancers are invited to submit their proposals, including their relevant experience and timeline for this project. We will review all proposals and select the most qualified candidate to complete this project successfully.
We look forward to receiving your proposals and working with a talented freelancer to bring this speech recognition app to life. If you have any questions or need further clarification, please don't hesitate to reach out. If the experience and product was excellent, we will give next projects to the freelancer.