Speechllect
Beta speech-to-text and text-to-speech engine that layers emotion/tone detection onto transcription and voice synthesis for call centers.
What it does
Speechllect is a real-time speech-to-text and text-to-speech engine built on a proprietary 'Sense Theory' approach that analyzes the emotional tone of speech alongside its literal content. It offers standalone STT and TTS as well as a combined solution meant to automate customer-facing conversations such as sales or support calls.
Core features
Real-time speech-to-text with emotion/tone detection
Text-to-speech with adjustable intonation and tonality by age, gender and emotion
Combined STT+TTS pipeline for automated conversation flows
Private multi-region cloud infrastructure
Proprietary encryption for stored voice data
API access for integration into business workflows
Best for
→Automating call-center customer support scripts
→Adding emotionally aware voice narration to video games
→Powering smart-home or website voice interactions
→Analyzing customer tone during support calls
→Building voice bots for sales outreach