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What is SpeechData.ai?

SpeechData.ai functions as a commercial entity that specializes in curating and supplying collections of conversational speech data crucial for the development and evaluation of Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and various voice-AI technologies. Their platform boasts a vast library of 60 conversational datasets across 60 languages and dialects, amassing an impressive total of 73,000 hours of audio sourced from 7,250 unique speakers. Each dataset provides insights into spontaneous two-person conversations, features dual-channel audio, and includes meticulously time-aligned, human-verified transcripts along with speaker metadata and consent documentation, with pricing ranging from USD 60 to 95 per hour of audio. Clients can request audio samples and have the opportunity to commission custom data collection tailored to their specific needs. In addition, the service offers transcription and audio annotation services. Typical buyers include teams dedicated to acquiring speech data for the purpose of training and assessing their models. The accessibility of datasets, licensing terms, and final pricing are affected by factors such as the selected language, the volume of data needed, and the specific terms negotiated for each project. Furthermore, the platform is designed to ensure effortless access to top-notch speech data for a broad spectrum of applications in the voice technology domain, ultimately enhancing the capabilities of AI-driven voice solutions. This commitment to quality and customization positions SpeechData.ai as a significant player in the evolving landscape of voice technology.

What is Qwen-Audio-3.0-TTS-Flash?

Qwen-Audio-3.0-TTS-Flash is a real-time adaptation of Qwen-Audio-3.0-TTS, tailored for interactive environments with an initial packet delay of approximately 300 milliseconds. This version supports 16 languages and provides enhanced audio fidelity for multiple Chinese dialects. In multilingual evaluations, Flash stands out with the lowest average word and character error rates in its class, measured at 3.87, showcasing remarkable clarity while preserving the distinct characteristics of various speakers across different languages. Developers have the convenience of managing output through simple language instructions, eliminating the need for manual adjustment of acoustic settings; this feature empowers them to fine-tune elements such as emotion, role, scenario, pace, projection, and tone using intuitive commands. Furthermore, inline tags facilitate the integration of specific non-verbal cues, making the model exceptionally suitable for a broad range of applications, such as conversational agents, storytelling, gaming, dubbing, and other expressive speech situations. Notably, the voice cloning capabilities are adept at functioning effectively even with suboptimal reference audio; this is achieved through targeted acoustic simulation that minimizes background noise and reverberation while preserving the tonal qualities of the original voice. As a result, this cutting-edge technology not only enhances versatility but also enriches the overall audio experience across diverse platforms and applications, making it a valuable tool for developers and content creators alike.

Media

No images available

Media

Integrations Supported

Integrations Supported

Alibaba Cloud Model Studio
QwenCloud

API Availability

API Availability

Has API

Pricing Information

USD 60 per audio hour

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Spirelight ApS

Date Founded

2019

Company Location

Denmark

Company Website

www.speechdata.ai/

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

alibabacloud.com

Categories and Features

Categories and Features

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