Gooya v1.4 Persian Speech Recognition

What is Gooya v1.4 Persian Speech Recognition ?

Gooya v1.4 Persian Speech Recognition is a cutting-edge tool designed to transcribe Persian audio files into text. It leverages advanced AI technology to accurately recognize and convert spoken Persian language into written format, enabling efficient processing of audio data.

Features

• Support for Persian Language: Tailored to recognize and transcribe Persian speech with high accuracy.
• Multi-Language Support: Capable of handling other languages commonly spoken in Iran, including English.
• High Accuracy: Advanced algorithms ensure precise transcription of spoken words.
• Real-Time Processing: Allows for immediate transcription of audio input.
• Support for Various Audio Formats: Compatible with popular formats such as WAV, MP3, and more.
• Speaker Identification: Can distinguish between multiple speakers in an audio file.
• Custom Vocabulary Support: Enables users to add specific terms or phrases for better accuracy.
• Cross-Platform Compatibility: Available for use on Windows, macOS, and Linux systems.

How to use Gooya v1.4 Persian Speech Recognition ?

1. Import Audio File: Upload the Persian audio file you wish to transcribe.
2. Select Settings: Choose the language (Persian) and any additional options such as custom vocabulary or speaker identification.
3. Process Audio: Initiate the transcription process.
4. View Results: Review the generated text in the interface.
5. Export Transcription: Save or export the transcribed text in your preferred format.

Frequently Asked Questions

What languages does Gooya v1.4 support?
Gooya v1.4 primarily supports Persian but can also handle other languages commonly spoken in Iran, including English.

Is Gooya v1.4 compatible with all audio formats?
Gooya v1.4 supports popular audio formats such as WAV, MP3, and FLAC. For less common formats, conversion may be required before transcription.

Can Gooya v1.4 transcribe speech in real-time?
Yes, Gooya v1.4 offers real-time transcription capabilities, making it ideal for live audio processing.