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Description

SpeechData.ai operates as a commercial service that curates and provides collections of conversational speech data, which are essential for developing and assessing Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and various voice-AI technologies. Their platform features an extensive catalogue of 60 conversational datasets in 60 different languages and dialects, encompassing a remarkable total of 73,000 hours of audio recorded from 7,250 distinct speakers. Each listing provides details about spontaneous two-person dialogues, includes dual-channel audio, and offers time-aligned, human-verified transcripts along with speaker metadata and consent documentation, with pricing ranging from USD 60 to 95 per audio hour. Customers have the option to request audio samples and can also commission additional data collection tailored to specific requirements. Beyond this, the service includes transcription and audio annotation capabilities. Typical purchasers comprise teams focused on acquiring speech data for training and evaluating their models. The availability of datasets, licensing agreements, and final costs are influenced by factors such as the chosen language, the extent of data collection, and the specific terms negotiated for the project. Additionally, the platform aims to facilitate seamless access to high-quality speech data for a variety of applications in the voice technology sector.

Description

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon EC2 No 
Amazon Redshift No 
Amazon S3 No 
Google Cloud Platform No 
IBM Cloud No 
Microsoft Azure No 

Integrations

Amazon EC2 Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Google Cloud Platform Yes 
IBM Cloud Yes 
Microsoft Azure Yes 

Pricing Details

USD 60 per audio hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Spirelight ApS

Founded

2019

Country

Denmark

Website

www.speechdata.ai/

Vendor Details

Company Name

Appen

Founded

1996

Country

Australia

Website

appen.com

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Labeling

Human-in-the-loop Yes 
Labeling Automation Yes 
Labeling Quality Yes 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management Yes 
Team Collaboration Yes 
Training Data Management Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Speech Analytics

Automatic Transcription Yes 
Call Center Management No 
Call Recording No 
Customer Experience Management No 
Data Security No 
Natural Language Processing Yes 
Predictive Analytics No 
Self-Service Search No 
Sentiment Analysis Yes 
Surveys & Feedback Yes 

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