The Speech Recognition API offered by HPE Haven OnDemand creates a speech-to-text transcript from an audio or video file. You can then use this output with other Haven OnDemand APIs, such as Concept Extraction or Add to Text Index, to gain further insight and analysis. The Speech Recognition API currently supports broadcast-quality audio in several languages, as well as telephony grade audio for some of those languages.
HPE Haven OnDemand is a Machine Learning platform with more than 60 APIs for developers to build data rich applications and perform analytics using text analysis, speech recognition, image analysis, prediction, indexing and search APIs. Add advanced capabilities such as natural language processing, machine learning, cognitive computing, and predictive analytics to your application with minimal coding and effort.
Crawl, index and analyze data from file systems, DropBox, and the web. Analyze and extract insights from documents, text, audio, video, and image files, or build your own prediction and recommendation engines. By combining APIs you’ll be able to create powerful data transformation and enrichment workflows.
HPE Haven OnDemand Document Categorization
HPE Haven OnDemand Concept Extraction
HPE Haven OnDemand Language Identification
HPE Haven OnDemand Sentiment Analysis
HPE Haven OnDemand Entity Extraction
HPE Haven OnDemand Add to Text Index
HPE Haven OnDemand Store Object
- Broadband Modern Standard Arabic
- Broadband German
- Broadband Australian English
- Broadband Canadian English
- Broadband US English
- Telephony US English
- Broadband British English
- Telephony British English
- Broadband European Spanish
- Telephony European Spanish
- Broadband Latin American Spanish
- Telephony Latin American Spanish
- Broadband Farsi (Persian)
- Broadband French
- Telephony French
- Broadband Italian
- Broadband Japanese
- Broadband Dutch
- Broadband Brazilian Portuguese
- Broadband Russian
- Broadband Mandarin
The language of the provided speech. For the highest accuracy, use the option and model that most closely resembles your voice data. For example, to process voice mails recorded over a telephone network use the Telephony language option, if available. If you have a reasonable quality recording such as a webinar recorded with a good quality microphone, use the Broadband language.
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