Kalpa Labs

Kalpa Labs: Scaling Generalist Speech Models

Kalpa Labs is building a single generalist model designed to perform all speech tasks using natural instructions and in-context learning. This approach aims to replace the need for multiple specialized models for individual tasks like voice cloning, singing, or dubbing, by providing one model for every audio task that can be instructed like a sound engineer.

Key Features

• Multi-task by Design: The platform uses one model trained simultaneously on voice cloning, generation, editing, dubbing, and audio understanding, not separate specialized models.
• Instruction Following: Users can describe desired outcomes using natural language, such as "Make this voice sound older and speak slower" or "Sing a song in my voice."
• In-Context Learning: The model includes contextually aware voice agents that adjust tone based on conversation history. It can also instantly clone a voice from a recording provided in an input prompt.
• Complex Capabilities: It can handle complex, conversational prompts to perform multiple tasks, such as cloning a voice, making it speak in a specific accent, and then having it sing a melody.

Use Cases

Based on the model's described capabilities, use cases include:

• Voice cloning
• Speech generation and editing
• Dubbing into other languages
• Audio understanding
• Modifying voice characteristics like age and speed
• Applying specific accents to speech
• Generating singing in a user's voice

About Us

Kalpa Labs was founded by Prashant Shishodia (ex-Google) and Gautam Jha (ex-QRT, Squarepoint). The company is focused on scaling generalist speech models to the same limits as LLMs.

Getting Started

To start building with the model, you can contact the team.

• Website: https://kalpalabs.ai/
• Contact: The website provides options to "Talk to Sales" or email the founders at founders@kalpalabs.ai.