Nexdata | Multilingual Conversational Speech Data |16kHz Mobile Phone| 35,000 Hours |Audio Data | Speech Recognition Data | Machine Learning (ML) Data

What is Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data?

Nexdata has off-the-shelf 35,000 hours Machine Learning (ML) Data of 16kHz conversational speech, covering 100+ countries including English, German, French, Spanish, Italian, Portuguese, Korean, Japanese, Hindi, Russia and etc.

What is Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data used for?

This product has 5 key use cases. Nexdata recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Conversational AI, Speech Recognition, and ASR. Global businesses and organizations buy AI & ML Training Data from Nexdata to fuel their analytics and enrichment.

Who can use Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for AI & ML Training Data. Get in touch with Nexdata to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data go?

This Audio Data has 5 years of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data cover?

This product includes data covering 60 countries like USA, China, Japan, Germany, and India. Nexdata is headquartered in United States of America.

How much does Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data cost?

Pricing for Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data starts at USD10,000 per purchase. Connect with Nexdata to get a quote and arrange custom pricing models based on your data requirements.

How can I get Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data?

Businesses can buy AI & ML Training Data from Nexdata and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Nexdata can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data?

Nexdata has reported that this product has the following quality and accuracy assurances: 98% sentence/word. You can compare and assess the data quality of Nexdata using Datarade’s data marketplace.

What are similar products to Nexdata Multilingual Conversational Speech Data 16kHz Mobile Phone 35,000 Hours Audio Data Speech Recognition Data Machine Learning (ML) Data?

This Audio Data has 3 related products. These alternatives include Nexdata Multilingual Read Speech Data 65,000 Hours Audio AI & ML Training Data Audio Data Speech Recognition Data Machine Learning (ML) Data, WebAutomation Off the Shelf Datasets Audio Data for AI & ML Training 600+ Hours of Recording Speech Recognition, Natural Language Processing, and Coresignal Clean Data Company Data AI-Enriched Datasets Global / 35M+ Records / Updated Weekly. You can compare the best AI & ML Training Data providers and products via Datarade’s data marketplace and get the right data for your use case.