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Description
Bitext specializes in creating multilingual hybrid synthetic training datasets tailored for intent recognition and the fine-tuning of language models. These datasets combine extensive synthetic text generation with careful expert curation and detailed linguistic annotation, which encompasses various aspects like lexical, syntactic, semantic, register, and stylistic diversity, all aimed at improving the understanding, precision, and adaptability of conversational models. For instance, their open-source customer support dataset includes approximately 27,000 question-and-answer pairs, totaling around 3.57 million tokens, 27 distinct intents across 10 categories, 30 types of entities, and 12 tags for language generation, all meticulously anonymized to meet privacy, bias reduction, and anti-hallucination criteria. Additionally, Bitext provides industry-specific datasets, such as those for travel and banking, and caters to over 20 sectors in various languages while achieving an impressive accuracy rate exceeding 95%. Their innovative hybrid methodology guarantees that the training data is not only scalable and multilingual but also compliant with privacy standards, effectively reduces bias, and is well-prepared for the enhancement and deployment of language models. This comprehensive approach positions Bitext as a leader in delivering high-quality training resources for advanced conversational AI systems.
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.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Hugging Face
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
USD 60 per audio hour
Free Trial
No
Free Version
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
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Bitext
Founded
2008
Country
United States
Website
www.bitext.com/training-datasets/
Vendor Details
Company Name
Spirelight ApS
Founded
2019
Country
Denmark
Website
www.speechdata.ai/