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Description
A feature within the Speech service that confirms and recognizes individual speakers enhances customer interactions. By facilitating seamless and secure experiences, the solution improves customer satisfaction through efficient verification methods. Utilizing voice as a means of authentication allows for smooth and secure engagements across various platforms, including web applications and call centers. The speaker verification process can utilize either specific passphrases or open-ended voice input to achieve its goal. Furthermore, it offers significant advantages in scenarios involving multiple speakers, allowing the system to identify individuals among a group of enrolled users. This functionality supports personalized interactions by attributing speech to specific speakers and enhances multiuser voice recognition capabilities. In essence, this feature not only streamlines the verification process but also enriches the overall engagement experience for customers.
Description
Hotel Speaker is a comprehensive review management system that integrates both artificial intelligence and human expertise, enabling hotel managers to efficiently address guest feedback across various platforms with speed, consistency, and genuine engagement.
Utilizing sophisticated natural language processing alongside skilled native writers proficient in multiple languages, Hotel Speaker crafts personalized responses that reflect the distinctive character of each property. The platform's commitment to “Extreme Personalization” guarantees that every reply adheres to the brand's guidelines and maintains its unique tone.
In addition to enhancing reputation management, the crafted replies serve as a valuable marketing asset, highlighting the property's strengths at a pivotal moment when potential guests are deciding where to book.
The system streamlines the review process by scanning multiple review sites, generating tailored responses, and automating the publishing of replies once they receive approval, while allowing managers to maintain editorial oversight and monitor performance metrics through a user-friendly dashboard.
With its rapid response capabilities and support for multiple languages, Hotel Speaker not only fosters stronger guest relationships but also safeguards the brand's voice, ultimately leading to increased bookings and enhanced customer loyalty. This innovative solution is essential for any hotel looking to thrive in a competitive market.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Azure AI Content Safety
Azure AI Services
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/
Vendor Details
Company Name
Hotel Speaker
Founded
2018
Country
France
Website
hotelspeaker.com
Product Features
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition
Product Features
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label
Review Management
Campaign Management
Dashboard
Negative Feedback Management
Response Management
Review Monitoring
Review Notification
Review Request
Sentiment Analysis
Social Sharing
White Label