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What is LumenVox Automatic Speech Recognition (ASR)?

Voice recognition and authentication technologies powered by AI have the potential to revolutionize how customers engage with services. With adaptable voice-enabled solutions, you can cater to the diverse needs of your clientele in a timely and cost-effective manner. Our primary focus is on voice enablement for applications, ensuring that you receive exceptional voice automation and interaction experiences. The LumenVox ASR and TTS systems offer both precision and affordability, enhancing efficiency for both customers and service providers alike. You will find that every interaction can be unique, catering to the individual needs of each caller. Furthermore, our technology supports the recognition of various dialects through a unified global language model, providing unparalleled versatility in features, implementation, and revenue generation. With LumenVox, your only limit is your imagination, as we empower you to conceptualize and construct innovative solutions tailored to your requirements.

What is Azure AI Speech?

Accelerate the creation of voice-enabled applications confidently by leveraging the Speech SDK. This powerful tool enables accurate speech-to-text transcription, produces lifelike text-to-speech results, facilitates spoken language translation, and provides speaker recognition capabilities within conversations. You can customize your applications by employing tailored models through Speech Studio. Experience state-of-the-art speech recognition, realistic text-to-speech synthesis, and award-winning speaker identification technology, all while ensuring your data privacy, as no speech input is recorded during processing. Additionally, you can personalize voices, add specific terms to your vocabulary, or craft your own distinctive models. The Speech SDK is versatile enough to be used in various settings, such as cloud platforms and edge containers. With impressive accuracy, you can transcribe audio in more than 92 languages and dialects. This technology enhances customer comprehension via call center transcriptions, improves user experiences with voice-activated assistants, and captures important discussions in meetings, among other applications. Utilize the text-to-speech features to create applications and services that communicate in a natural manner, offering a selection of over 215 voices across 60 languages, which greatly enhances the engagement and versatility of your projects. The combination of these extensive capabilities empowers developers to innovate effortlessly while significantly enhancing user interactions and satisfaction.

Media

Media

Integrations Supported

Avaya Experience Platform
Cisco AnyConnect
Five9
Twilio
Vocantas Communicate

Integrations Supported

Azure Marketplace
Blabby
Crestwood Cloud
Custom Neural Voice
Fleece AI
Lont
MAI-Voice-2.1
Microsoft 365
Microsoft Azure
OpenAI Whisper
Openlayer
PyGPT
Restack

API Availability

Has API

API Availability

Pricing Information

Contact Us

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

LumenVox

Date Founded

2001

Company Location

United States

Company Website

www.lumenvox.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-speech

Categories and Features

Speech Recognition

Audio Capture
Automatic Transcription
Call Analysis
Concatenated Speech
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Voice Recognition

Categories and Features

AI Voice Generators

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Text to Speech

Not specified

Transcription

Not specified

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