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人工智能领域垂类大模型独角兽

TTS

Built on deep‑learning and large‑model technologies, it intelligently predicts text emotion, intonation and other features to deliver highly human‑like, smooth and natural speech synthesis services. Widely applied in intelligent customer service, audio reading, news broadcasting, smart terminals and other scenarios.

Core Advantages

Product Advantages

  • The end‑to‑end VITS model offers 30+ preset voices covering customer service, broadcasting, reading and other scenarios, and supports personalized voice cloning powered by large‑model‑based TTS capabilities.
  • Supports SSML markup language for text processing to meet pronunciation requirements under various scenarios.

Technical Advantages

  • Supports both efficient end‑to‑end VITS synthesis and large‑model‑driven cloning synthesis.
  • Provides dual‑sampling‑rate audio output (8k/16k), fully compatible with playback needs from PSTN telephone channels to high‑definition media.

Service Advantages

  • Fully validated by internal Dezhu businesses including intelligent IVR, outbound calls and practice assistants, delivering mature and reliable solutions.
  • Supports ready‑to‑use public‑cloud APIs and private deployment to meet data‑localization compliance requirements, with multiple authoritative certifications such as CMA and CNAS.

Cost Advantages

  • Flexible billing plans including pay‑as‑you‑go and prepaid options.
  • Custom voice cloning requires only 5‑10 seconds of ultra‑short audio, greatly cutting costs of traditional human‑voice replication.

Product Capabilities

Voice & Speech Customization

Built‑in 30+ multi‑style, multi‑gender and multi‑dialect voices to meet mainstream business scenarios such as customer service, broadcasting and reading.

Large‑model‑powered TTS enables users to independently train personalized cloned voices by submitting audio samples for rapid voice customization.

Fine‑grained Speech Control

Supports speech‑speed adjustment from level 0 to 100 (default: 50), enabling stepless fine control of broadcasting rhythm.

The VITS model is compatible with SSML markup language, using tags such as phoneme, break and say‑as to precisely control pronunciation, pauses and specific readings.

Real‑time Speech Synthesis

WebSocket streaming synthesis enables simultaneous synthesis and playback with millisecond‑level first‑packet response, supporting real‑time synthesis of both 600‑character short texts and ultra‑long texts.

Large models intelligently predict text emotion and intonation, automatically matching corresponding emotional expressions to support high‑naturalness real‑time dialogue scenarios.

Enterprise‑level System Integration

Offers multiple integration methods including HTTP single synthesis, WebSocket streaming synthesis, standard MRCP protocol and Java/C++ SDKs.

Quickly connects with call center systems such as IVR and outbound calling via MRCP protocol, suitable for voice navigation, automatic outbound calls and content production scenarios.

Application Scenarios

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TTS

Built on deep‑learning and large‑model technologies, it intelligently predicts text emotion, intonation and other features to deliver highly human‑like, smooth and natural speech synthesis services, widely applied in intelligent customer service, audio reading, news broadcasting, smart terminals and other scenarios.

<0.2

RTF

5‑10s

Ultra‑short Audio Voice Cloning

30+

Supported Voice Types

100%

Synthesis Success Rate

Core Advantages

Product Advantages

  • The end‑to‑end VITS model offers 30+ preset voices covering customer service, broadcasting, reading and other scenarios, and supports personalized voice cloning powered by large‑model‑based TTS capabilities.
  • Supports SSML markup language for text processing to meet pronunciation requirements under various scenarios.

Technical Advantages

  • Supports both efficient end‑to‑end VITS synthesis and large‑model‑driven cloning synthesis.
  • Provides dual‑sampling‑rate audio output (8k/16k), fully compatible with playback needs from PSTN telephone channels to high‑definition media.

Service Advantages

  • Fully validated by internal Dezhu businesses including intelligent IVR, outbound calls and practice assistants, delivering mature and reliable solutions.
  • Supports ready‑to‑use public‑cloud APIs and private deployment to meet data‑localization compliance requirements, with multiple authoritative certifications such as CMA and CNAS.

Cost Advantages

  • Flexible billing plans including pay‑as‑you‑go and prepaid options.
  • Custom voice cloning requires only 5‑10 seconds of ultra‑short audio, greatly cutting costs of traditional human‑voice replication.

Product Capabilities

Voice & Speech Customization

  • Built‑in 30+ multi‑style, multi‑gender and multi‑dialect voices to meet mainstream business scenarios such as customer service, broadcasting and reading.
  • Large‑model‑powered TTS enables users to independently train personalized cloned voices by submitting audio samples for rapid voice customization.

Fine‑grained Speech Control

  • Supports speech‑speed adjustment from level 0 to 100 (default: 50), enabling stepless fine control of broadcasting rhythm.
  • The VITS model is compatible with SSML markup language, using tags such as phoneme, break and say‑as to precisely control pronunciation, pauses and specific readings.

Real‑time Speech Synthesis

  • WebSocket streaming synthesis enables simultaneous synthesis and playback with millisecond‑level first‑packet response, supporting real‑time synthesis of both 600‑character short texts and ultra‑long texts.
  • Large models intelligently predict text emotion and intonation, automatically matching corresponding emotional expressions to support high‑naturalness real‑time dialogue scenarios.

Enterprise‑level System Integration

  • Offers multiple integration methods including HTTP single synthesis, WebSocket streaming synthesis, standard MRCP protocol and Java/C++ SDKs.
  • Quickly connects with call center systems such as IVR and outbound calling via MRCP protocol, suitable for voice navigation, automatic outbound calls and content production scenarios.

Application Scenarios

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