Listener – AI Speech-to-Text for Real-Time Conversations
Transform Speech into Actionable Intelligence
Listener is GoVivace's enterprise-grade patented Speech-to-Text (STT) engine designed for conversational AI, contact centers, transcription workflows, and multilingual customer interactions.
Built for real-time and batch processing, Listener delivers accurate transcription across voice calls, mobile applications, web applications, and enterprise communication systems. Based on the current product description, it supports streaming and offline transcription, custom vocabularies, multilingual speech recognition, and scalable deployment models.
Why Listener
Supported Languages
Built for Global Conversations
Listener supports the languages your customers speak across the world
01
Real-Time Speech Recognition
Convert live conversations into searchable text with ultra-low latency, so agents and AI systems act while the conversation is still happening.
02
Enterprise Accuracy
Improve transcription with custom vocabularies, business terminology, proper nouns, acronyms, and domain-specific language your teams actually use.
03
Multilingual Recognition
Support global and regional languages with seamless multilingual recognition and natural code-switching between them.
04
Cloud, On-Premise & Hybrid
Deploy securely in cloud, on-premise, or hybrid environments to meet enterprise security, data residency, and compliance requirements.
English EN
Spanish ES
French FR
German DE
Italian IT
Portuguese PT
Mandarin ZH
Arabic AR
Vietnamese VI
Japanese JA
Hindi HI
Tamil TA
Telugu TE
Kannada KN
Malayalam ML
Marathi MR
Gujarati GU
Bengali BN
Odia OR
Assamese AS
Code-Switching Support
Listener can recognize mixed-language conversations
The current Listener platform already emphasizes multilingual and code-switching capabilities, especially for multi-lingual markets.
Key Features
Enterprise Speech Intelligence Engine
01
Streaming Speech Recognition
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Low-latency transcription for live voice streams and continuous recognition—the backbone of real-time AI workflows and agent assist.
02
Batch Transcription
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Process meeting recordings, call archives and media libraries accurately at scale.
03
Custom Vocabulary Adaptation
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Improve recognition with product names, acronyms, medical and financial terminology.
04
Keyword Spotting
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Detect compliance triggers, customer intent and business-critical keywords automatically.
05
Hint Word Recognition
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Boost transcription accuracy using expected words and phrases.
06
Unlimited Audio Processing
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Handle audio streams of any duration.
07
API & SDK Integration
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REST APIs, WebSocket APIs, SDKs and enterprise integration support.
Industry Use Cases
Built for every industry
Contact Centers
- Call transcription
- Agent assistance
- Quality monitoring
Conversational AI
- Voice bots
- AI assistants
- Conversational IVR
Banking & Financial Services
- Customer authentication workflows
- Call documentation
- Compliance monitoring
Healthcare
- Medical dictation
- Appointment interactions
- Clinical documentation
Government & Public Sector
- Citizen services
- Multilingual interactions
- Voice-based access channels
Media & Content
- Captioning
- Subtitling
- Meeting transcription
Enterprise Capabilities
Why Enterprises Choose Listener
Real-Time Streaming
Active
Batch Transcription
Active
Custom Vocabulary
Active
Keyword Spotting
Active
Hint Words
Active
Multilingual Recognition
Active
Code Switching
Active
Cloud Deployment
Active
On-Premise Deployment
Active
Hybrid Deployment
Active
API Integration
Active
MRCPv2 Support
Active
GoVivace Voice AI Ecosystem
Part of the GoVivace Voice AI Ecosystem
L
Listener
Understands Speech
A
Authenti
Verifies Identity
E
Eloqui
Speaks Naturally
C
CallAI
Extracts Intelligence
V
VIVI
Enterprise AI Agent
FAQ —
Frequently Asked Questions
Speech-to-Text converts spoken language into written text for search, automation, analytics, and conversational AI applications.
Listener supports English, Spanish, French, Italian, German, Portuguese, Mandarin, Arabic, Vietnamese, and multiple Indian languages including Hindi, Tamil, Telugu, Malayalam, Kannada, Marathi, Gujarati, Odia, Bengali, and Assamese.
Yes. Listener supports both streaming and batch transcription workflows.
Yes. Custom vocabulary adaptation allows Listener to improve recognition of domain-specific words and phrases.
Yes. Listener can be deployed in cloud, on-premise, or hybrid environments.
Yes. Listener supports multilingual speech recognition and code-switched conversations.
Turn every voice interaction into business intelligence
Discover how Listener enables enterprises to transcribe, understand, automate, and optimize every customer conversation with enterprise-grade speech intelligence.