AI Voice & Speech Automation
A production-ready neural Spanish Text-to-Speech system engineered to generate natural, emotionally expressive, and regionally authentic voice output. The solution delivers human-like Spanish speech with precise Catalan accent modeling, optimized for customer service, healthcare communication, and real-time public information systems.

Tech Stack
ElevenLabs, n8n, GoHighLevel, Google Sheets, Slack, Apex27, JavaScript
Project Type
Company Project
Service Type
AI Receptionist, CRM Automation, Workflow Integration
Industry
Real Estate, Property Management
About Client & Project
The client operates across customer-facing and public communication channels where voice quality, clarity, and trust are critical. Their services span customer support, tourism, and healthcare communications, requiring a scalable and reliable speech synthesis system that resonates with local audiences and performs consistently in real-world environments.
Challenges For Client
The Key Features We Integrated

Emotion-Aware Speech Synthesis
Generates speech with human-like emotion, tone variation, and expressive prosody, creating natural, engaging, and lifelike voice interactions.

Natural Expressive Output
Accurately captures speaking style and emotional context, ensuring responses sound conversational, dynamic, and aligned with user intent.

Regional Accent Modeling
Supports localized speech patterns, intonation, and phonetics to reflect authentic regional accents and cultural linguistic nuances.

Authentic Catalan Pronunciation
Produces precise Catalan Spanish pronunciation, respecting local phonology and speech rhythms for highly natural, region-specific voice output.

Low-Latency Inference
Optimized inference pipeline enables fast speech generation, minimizing delays and enabling smooth real-time conversational experiences.

Sub-Two-Second Response Time
Delivers high-quality speech responses in under two seconds, making it suitable for live customer support and interactive systems.

Long-Form Audio Stability
Ensures consistent tone, clarity, and pacing across extended speech, avoiding degradation during long-duration audio generation.

Consistent Extended Speech Quality
Maintains vocal quality and expressiveness throughout long narratives, presentations, or dialogues without distortion or performance drops.
Product Development Cycle
Development Methodology
We followed a straightforward Waterfall approach with clearly defined phases-requirement gathering, design, development, testing, and deployment.
Agile Approach
We used agile sprints to quickly adapt features like emergency detection, CRM sync, and multilingual support.
Parallel UAT
User acceptance testing was conducted alongside development to refine voice flows and customer interactions.
Rapid Prototyping
Voice scenarios were rapidly tested with ElevenLabs AI to ensure natural conversations and smooth escalation triggers.
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