Whisper Description
We have developed and are open-sourcing Whisper, a neural network that approximates human-level robustness in English speech recognition. Whisper is an automated speech recognition (ASR), system that was trained using 680,000 hours of multilingual, multitask supervised data from the internet. The use of such a diverse dataset results in a better resistance to accents, background noise, technical language, and other linguistic issues. It also allows transcription in multiple languages and translation from these languages into English. We provide inference code and open-sourcing models to help you build useful applications and further research on robust speech processing. The Whisper architecture is an end-to-end, simple approach that can be used as an encoder/decoder Transformer. The input audio is divided into 30-second chunks and converted into a log Mel spectrogram. This then goes into an encoder.
Whisper Alternatives
LumenVox
AI-driven speech recognition technology and voice authentication technology can transform customer engagement. Our 20-year history has been dedicated to ensuring that our partners are successful through collaboration. Our curiosity keeps us innovating for 20 more years. Our flexible speech-enabling technology allows you to create a solution that meets all your customers' needs, reliably and affordably. We do one thing well. Speech-enabling your applications is our specialty. Deliver great voice automation and interactions. LumenVox ASR/TTS can be used for simple commands or more complex questions. This will help you increase efficiency on both ends of the phone line. You won't ever repeat yourself. You will have the most flexibility in terms of capabilities, deployment, and monetization. LumenVox can help you create it if you can think of it. Our intuitive technology and toolsets make it easier to reduce time from development to deployment.
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Speechmatics
Speechmatics is the most accurate and inclusive speech-to-text API ever released.
Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech.
Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more.
How is Speechmatics different?
* The most accurate speech recognition on the market
* 55 languages with vast accent and dialect coverage
* Cloud-based or on-premises deployment options for data security
* Real-time transcription with low latency and high accuracy
* Real-time translation with 69 language pairs
* Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events
* Fast and secure transcriptions for pre-recorded audio
* Automatic translation and language identification
* A culture of R&D in deep learning and speech recognition
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Rev
Rev offers premium on-demand, manual, and automated transcription, closed captioning, and foreign subtitling services. Rev has 170,000+ clients, ranging from freelance journalists to global corporations. Rev processes more audio/video than any other provider, and can scale to meet any customer's requirements. Pricing is straightforward, starting at $0.25 per audio/video min for automated speech-to text services and $1.25/min manual with 99% accuracy. Rev.ai is a speech recognition engine available to companies who request it.
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Google Cloud Speech-to-Text
An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Company Details
Company:
OpenAI
Headquarters:
United States
Website:
openai.com/blog/whisper/
Media
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Product Details
Platforms
SaaS
Type of Training
Documentation
Webinars
Videos
Customer Support
Online
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