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Laia Voice AI

Enterprise Voice Intelligence

Research-Backed
Enterprise Voice Intelligence Platform

Understand Every Voice.Speak Every Language.

Real-time voice analysis, multilingual cloning, and privacy-preserving AI — developed by researchers published at the world's top conferences.

Built by Laia Smart Solutions — our research team has published at

NeurIPSAAAIStanford AI for ScienceICLR

98.89%

Gender Detection

verified on LibriSpeech

In Progress

Age Detection

architecture designed

In Progress

Accent Detection

architecture designed

4.21

Private Voice MOS

reported in manuscript

Live Analysis and Voice Cloning Demo

Record once, analyze instantly, and clone in your selected language with the same voice sample.

Voice Input

Record your voice, stop manually, or upload an audio file.

Drag and drop an audio file, or click to browse

Supports WAV, MP3, FLAC, OGG, WEBM

Voice Cloning

Clone with uploaded audio or the latest recording from this page.

Hola, bienvenido a Laia Voice AI. Estamos listos para ayudarte.

Record audio first to auto-select it here, or upload a reference file.

Quality Preset

Ready to analyze

Record your voice or upload an audio file to get started

Laia R&D Capabilities

Core technologies and product strengths behind the live demo.

Real-Time Caller Intelligence

Gender, age, accent, and emotion inference from short audio windows.

<2s pipeline in local tests

Voice Cloning

XTTS v2 based multilingual synthesis with reference voice adaptation.

Spanish/Catalan/Basque/Galician

Privacy-Oriented Architecture

Single backend deployment path and local paper artifacts for reproducibility.

On-prem friendly

Cross-Lingual R&D

Zero-shot multilingual experiments with low-resource language focus.

10s reference setup

Latency Engineering

FastAPI + model manager + browser proxy integration optimized for responsiveness.

Sub-second components

Paper-Backed Claims

All showcase numbers map to repository-hosted PDFs and tracked manuscripts.

Research-backed AI

Verified Papers

5 peer-reviewed manuscripts hosted directly in this app. View full Technology Report

Peer-reviewed manuscript

Paper 1/5

Laia: Adaptive Voice Personalization for Real-Time Human-AI Interaction

Main paper for the current showcase and evaluation narrative.

Open PDF

Peer-reviewed manuscript

Paper 2/5

State-of-the-Art Gender Detection from Speech Using Wav2Vec 2.0

Gender classification manuscript with reported 98.89% test accuracy on LibriSpeech.

Open PDF

Peer-reviewed manuscript

Paper 3/5

Private Voice: Privacy-Preserving Distributed Learning for Voice Cloning

Privacy-preserving voice cloning with reported MOS and communication reduction.

Open PDF

Peer-reviewed manuscript

Paper 4/5

ZeroVoice: Zero-Shot Cross-Lingual Voice Cloning

Cross-lingual cloning with low-resource language evaluation.

Open PDF

Conference-ready manuscript

Paper 5/5

Laia: Adaptive Voice Personalization (Condensed)

Condensed version of the Laia framework paper for conference submission.

Open PDF

Bring Laia Voice AI to Your Product

Production API, research-backed models, and multilingual voice experiences ready for enterprise integration.