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What is Whisper?

We are excited to announce the launch of Whisper, an open-source neural network that delivers accuracy and robustness in English speech recognition that rivals that of human abilities. This automatic speech recognition (ASR) system has been meticulously trained using a vast dataset of 680,000 hours of multilingual and multitask supervised data sourced from the internet. Our findings indicate that employing such a rich and diverse dataset greatly enhances the system's performance in adapting to various accents, background noise, and specialized jargon. Moreover, Whisper not only supports transcription in multiple languages but also offers translation capabilities into English from those languages. To facilitate the development of real-world applications and to encourage ongoing research in the domain of effective speech processing, we are providing access to both the models and the inference code. The Whisper architecture is designed with a simple end-to-end approach, leveraging an encoder-decoder Transformer framework. The input audio is segmented into 30-second intervals, which are then converted into log-Mel spectrograms before entering the encoder. By democratizing access to this technology, we aspire to inspire new advancements in the realm of speech recognition and its applications across different industries. Our commitment to open-source principles ensures that developers worldwide can collaboratively enhance and refine these tools for future innovations.

What is Azure Speech Translation?

Effortlessly convert audio into over 30 languages while customizing translations to align with your organization’s specific terminology, all using your preferred programming language. Experience rapid and reliable speech translation powered by cutting-edge neural machine translation technology. With a simple API call, you can create both speech-to-speech and speech-to-text translations seamlessly. The Speech Translation feature comprehends the context of entire sentences, ensuring that translations are not only accurate but also fluent, thereby improving communication among users of various languages. Additionally, you have the option to tailor speech recognition and translation to accommodate the specialized vocabulary relevant to your field or industry. This process allows for the establishment of a bespoke translation system without requiring any machine learning expertise. Moreover, the Speech Translation capability can effectively eliminate verbal fillers such as "um" and "uh," as well as repeated phrases, while inserting correct punctuation and capitalization and filtering out inappropriate language, resulting in translations that are more refined. By ensuring that translations are clear and easy to understand, the system is designed to standardize speech output efficiently while significantly enhancing overall comprehension for users. Ultimately, this technology not only improves communication but also empowers organizations to interact more effectively in a multilingual environment.

Media

Media

Integrations Supported

AI Sparks Studio
Azure AI Services
Krater.ai
LastMile AI
MacWhisper
Microsoft Azure
Nekton.ai
NoteVocal
OpenAI
Pruna AI
ReByte
Spark NLP
Thinkbuddy
TurboScribe
Undrstnd
Utterly Voice
VESSL AI
Vocode
Waveloom

Integrations Supported

AI Sparks Studio
Azure AI Services
Krater.ai
LastMile AI
MacWhisper
Microsoft Azure
Nekton.ai
NoteVocal
OpenAI
Pruna AI
ReByte
Spark NLP
Thinkbuddy
TurboScribe
Undrstnd
Utterly Voice
VESSL AI
Vocode
Waveloom

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.36 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Company Location

United States

Company Website

openai.com/blog/whisper/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and 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

Categories and Features

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