Announcements and service messages
Prepare spoken explanations, step-by-step guidance and short informational messages for your audience.
Convert Persian text into speech with a female or male voice for service messages, audio content and spoken responses. On-premises deployment supports use within your organization's infrastructure.
Review voice quality and deployment with your actual content and requirements.Your message, explanation or content
Choose a voice for your application
Review pronunciation and clarity before use
When your content needs to be heard, text to speech can support the audience experience. Review voice suitability and reading quality with a real example for each application.
Prepare spoken explanations, step-by-step guidance and short informational messages for your audience.
Create spoken versions of training texts, guides and product explanations so audiences can listen to your content.
Turn a digital assistant's or service system's text response into speech for experiences where audio is part of the user journey.
Female and male voices and on-premises deployment are core capabilities. Speaker diarization has a separate role in analyzing audio files.
Convert Persian text to speech with a female or male voice. Compare both voices using the same text to assess their fit for your audience, message and application.
For Persian messages and audio contentDeploy the solution within your organization's infrastructure. Review computing requirements, data flows and setup around your environment and organizational policies with the technical team.
For use within your organizationSeparate the segments spoken by different speakers in an audio file. This supports reviewing conversations with multiple speakers and is distinct from converting text to speech.
For analyzing multi-speaker conversationsAudio samples will be added here. Both voices will read the same text to make comparison easier.
Audio sample coming soon
Audio sample coming soon
Clarify these points before starting to define setup scope and responsibilities.
On-premises deployment is available. Define computing capacity, text volumes and organizational access requirements before setup.
Select Persian input text and a female or male voice for your use case. Review names, numbers and specialist terms in the output.
Define how text and audio should move between existing systems. Speaker diarization is a separate audio analysis scenario from speech generation.
Yes. Persian text can be converted to speech with female and male voices. Review both using the same text during the demo to choose a voice that fits your application.
Yes. The solution can be deployed within your organization's infrastructure. Hardware requirements, usage volumes and setup conditions are reviewed with the Liyan technical team.
Text to speech generates audio from text. Speaker diarization analyzes an audio file to separate segments spoken by different people. Separating speakers does not necessarily establish their identities or names.
Use your own content to review names, numbers, terminology, pauses and sentence clarity. Compare both voices with the same text under similar listening conditions.
Share your application, expected usage and on-premises requirements with Liyan to discuss pricing and purchase terms. Setup and related services are reviewed in the same conversation.
Bring a sample of your actual content. Hearing the same text with both voices provides a useful basis for reviewing quality and choosing a suitable voice.
Choose sentences with names, numbers and terminology from your work, and describe how the output will be used.
Compare pronunciation, pauses, clarity and the female and male voices using the same sample.
Review your infrastructure and expected usage for on-premises deployment. If speaker diarization is needed, review a conversation recording separately.
Share your application and sample text with Liyan to review voice quality and deployment.