Azerbaijani txt2speech model

Imagine you have a piece of written text—maybe it's a book, a news article, or a message from a friend. Text-to-Speech technology takes that written text and converts it into spoken words, just like a person reading it out loud. This isn't just a robotic voice; advanced versions can capture the emotional tone and nuances of a language, making the listening experience quite similar to human speech.

Problem Statement

While Text-to-Speech technology is groundbreaking, its applications for the Azerbaijani language are non-existent. Current solutions focus predominantly on widely spoken languages, leaving Azerbaijani speakers with no options that truly understand their linguistic nuances.

NurAI's Azeri Text-to-Speech (txt2speech) aims to bridge this gap. Built on a foundation of advanced machine learning techniques and fine-tuned with Azerbaijani accents, idioms, and tonalities, this tool is specifically tailored for a wide range of applications in Azerbaijan.

Example Use Cases:

Movie Dubbing:

• Scenario: Azerbaijani moviegoers often find foreign films lacking in quality dubbing.

• NurAI's Azeri txt2speech: Provides high-quality, emotionally resonant voice-over that respects the nuances of the Azerbaijani language.

• Screenshot: [Sample dialogue with dubbed voice]

Accessibility:

• Scenario: Visually impaired individuals face difficulties in accessing Azerbaijani-written content.

• NurAI's Azeri txt2speech: Offers a rich and culturally nuanced auditory experience, making literature and news more accessible.

• Screenshot: [Audio playback of an Azerbaijani book]

Automated Customer Service:

• Scenario: Local businesses face challenges in offering multi-language support.

• NurAI's Azeri txt2speech: Efficiently handles customer queries in Azerbaijani, reducing operational costs and enhancing customer satisfaction.

• Screenshot: [Customer service chatbot in action]