Uncommon voices Matters!
Create voice-enabled systems and applications that are inclusive and accessible to a wider range of users.
Tagging
This feature allows users to add one or more tags to an audio file, which can help to categorize the content of the audio and make it easier to find and analyze later.
Transcription
This feature involves converting the audio data into text, which can help to create a searchable and machine-readable dataset.
Annotation and Editing
This feature allows users to trim, cut, or splice audio files and involves adding notes or comments to specific sections of an audio file, which can provide additional context or insights into the content of the audio.
Exporting
This feature allows users to export voice labeling data in a variety of formats, including CSV, JSON, or XML, which can be used for further analysis or integration with other applications.
Phygivoice – The voice labelling data platform
Convenience
Phygivoice provides a convenient way to create voice labeling dataset as they can be used anywhere and anytime. This means that users can create a voice labeling dataset on the go, without the need for any additional equipment or software.
Efficiency
Phygivoice increases the efficiency of creating a voice labeling dataset. With the use of a mobile app, users can easily record and label voice data on their mobile devices, eliminating the need for time-consuming manual processes.
Improved data quality
Phygivoice can help to improve the quality of voice labeling dataset. This is because mobile apps can provide features such as noise reduction, echo cancellation, and other filters that help to improve the clarity and accuracy of the voice data being recorded. As a result, the labeled voice dataset created with a mobile app can be of higher quality, which can lead to better performance of voice-enabled systems and applications.
Powering Ethical AI: Phygivoice helps you getting ready for the European Act for Responsible AI.”
The European Act for Responsible AI is a proposed legislation that aims to establish a framework for the development and use of artificial intelligence (AI) in the European Union (EU). The Act is part of a broader initiative to promote ethical and trustworthy AI that benefits individuals, society, and the environment.
The Act proposes a set of mandatory requirements for AI systems developed or deployed within the EU, including:
- Transparency: AI systems must be transparent, meaning that the underlying algorithms and data used by the system must be accessible and understandable to users.
- Accountability: Developers and operators of AI systems must be accountable for the decisions made by the system, and must be able to explain how the system arrived at its decisions.
- Robustness: AI systems must be designed to be robust and secure, and must be able to withstand attacks and errors.
- Non-discrimination: AI systems must not be used to discriminate against individuals or groups on the basis of their race, gender, age, or other personal characteristics.
- Privacy and data governance: AI systems must be designed to protect user privacy, and must comply with existing data protection laws and regulations.
“The best part is that Phygivoice helps us creating datasets of uncommon voices which makes our AI more inclusive.”
Mehdi KASMI – CEO phygitix.ai & aicapitalpartners.fr
Why Choose Us
Responsible Dataset
Create and use datasets with multiple accents and disabilities and ensure that the data collection process is inclusive and representative
Voice labelling
Phygivoice streamline data organization by enabling fast, hands-free input, improving productivity and accessibility for users.
Customer Experience
Phygivoice enhances user experience by allowing convenient, efficient, and accessible data entry, reducing manual effort and potential errors.