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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
We have developed and are releasing an open-source neural network named Whisper, which achieves levels of accuracy and resilience in English speech recognition that are comparable to human performance. This automatic speech recognition (ASR) system is trained on an extensive dataset comprising 680,000 hours of multilingual and multitask supervised information gathered from online sources. Our research demonstrates that leveraging such a comprehensive and varied dataset significantly enhances the system's capability to handle different accents, ambient noise, and specialized terminology. Additionally, Whisper facilitates transcription across various languages and provides translation into English from those languages. We are making available both the models and the inference code to support the development of practical applications and to encourage further exploration in the field of robust speech processing. The architecture of Whisper follows a straightforward end-to-end design, utilizing an encoder-decoder Transformer framework. The process begins with dividing the input audio into 30-second segments, which are then transformed into log-Mel spectrograms before being input into the encoder. By making this technology accessible, we aim to foster innovation in speech recognition technologies.
API Access
Has API
API Access
Has API
Integrations
AI Sparks Studio
Azure AI Content Safety
Baseten
Krater.ai
LastMile AI
MacWhisper
Monster API
OpenAI
Pruna AI
SheepScript.ai
Integrations
AI Sparks Studio
Azure AI Content Safety
Baseten
Krater.ai
LastMile AI
MacWhisper
Monster API
OpenAI
Pruna AI
SheepScript.ai
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
OpenAI
Country
United States
Website
openai.com/blog/whisper/
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
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
Transcription
AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding