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HR & People
Tencent Cloud Text to Speech
Tencent Cloud Text to Speech logo
HR & People

Tencent Cloud Text to Speech

Tencent Cloud Text to Speech (TTS) is a cloud-based AI service that converts written text into natural-sounding, human-like speech. It leverages advanced deep learning models to produce high-quality audio output in multiple languages and voices, supporting various speaking styles and emotional tones. The service is designed for developers and businesses looking to integrate speech capabilities into applications such as voice assistants, audiobook production, navigation systems, customer service IVRs, and educational tools. It offers real-time and batch synthesis, fine-grained control over speech parameters like speed and pitch, and robust API access. Positioned as an enterprise-grade solution, it emphasizes scalability, low latency, and integration within the broader Tencent Cloud ecosystem, catering to global markets with a focus on Chinese language support alongside other major languages.

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Key Features

Multi-Language and Multi-Voice Support

Offers a wide selection of voices across multiple languages and dialects, including Mandarin Chinese, English, Japanese, Korean, and more. Users can choose different speaker personas, such as male, female, and child voices.

Real-Time Streaming Synthesis

Enables ultra-low latency speech generation, streaming audio back to the client as it is synthesized. This is crucial for interactive applications like voice assistants and live captioning.

Emotional and Style Control

Allows control over the emotional tone and speaking style of the synthesized speech, such as happy, sad, news broadcast, or storytelling. Parameters like speech rate, pitch, and volume can be finely adjusted.

Long Text and Batch Synthesis

Supports synthesizing long-form content (like entire articles or books) efficiently through asynchronous batch processing. Users can submit large volumes of text and retrieve audio files upon completion.

Seamless Tencent Cloud Integration

Deeply integrated with other Tencent Cloud services like Cloud Functions, Message Queue, and Object Storage, allowing for easy orchestration within serverless architectures and data workflows.

Pricing

Pay-As-You-Go

usage-based
  • ✓Access to all standard and premium voices.
  • ✓Real-time and asynchronous synthesis modes.
  • ✓No upfront commitment or monthly minimum.
  • ✓Billed per character or per second depending on voice type.
  • ✓Standard Tencent Cloud support included.

Resource Packages

pre-paid package pricing
  • ✓Pre-purchase a bundle of characters or seconds at a discounted unit rate compared to pay-as-you-go.
  • ✓Packages are valid for a specified period (e.g., 1 year).
  • ✓Same API access and features as pay-as-you-go.
  • ✓Suitable for predictable, steady usage to reduce costs.

Enterprise Custom

contact sales
  • ✓Custom pricing based on large volume commitments.
  • ✓Dedicated account management and technical support.
  • ✓Potential for SLA guarantees on uptime and latency.
  • ✓Custom voice development and training services (if available).
  • ✓Enhanced security and compliance consultations.

Use Cases

1

Voice Assistants and Smart Devices

Developers integrate TTS to give voice output to smart speakers, in-car systems, and home automation devices. The real-time streaming capability ensures immediate verbal responses to user queries. This creates a natural, hands-free interaction, enhancing user experience in IoT ecosystems.

2

Audiobook and E-Learning Content Creation

Publishers and educational platforms use the batch synthesis feature to convert textbooks, novels, and course materials into audio format. The emotional style control allows for expressive narration, making learning more accessible and engaging for listeners during commutes or study sessions.

3

Customer Service Interactive Voice Response (IVR)

Businesses implement TTS in their call centers to generate dynamic, natural-sounding menu prompts and notifications. It reduces the need for pre-recorded audio clips, allowing for real-time updates to messages (like business hours or promotions) and supporting multiple languages for global customers.

4

Navigation and Public Announcement Systems

Mapping apps and transportation hubs use TTS to provide turn-by-turn directions and public announcements. The clear, customizable voices ensure instructions are easily understood in noisy environments, improving safety and user guidance in real-time scenarios.

5

Accessibility Tools for Visually Impaired Users

Applications and websites integrate TTS to read aloud screen content, enabling visually impaired users to access digital information. The high-quality, natural voices make prolonged listening less fatiguing, promoting digital inclusion and compliance with accessibility standards.

How to Use

  1. Step 1: Sign up for a Tencent Cloud account at the official website and complete identity verification, which is required for service activation and billing.
  2. Step 2: Navigate to the Text to Speech product page in the Tencent Cloud Console and activate the TTS service. You may need to apply for activation if it's your first time using the service.
  3. Step 3: Generate API keys (SecretId and SecretKey) from the Cloud Access Management (CAM) console to authenticate your API calls. Securely store these credentials.
  4. Step 4: Integrate the TTS API into your application using the provided SDKs (available for languages like Python, Java, PHP, Go) or make direct HTTP POST requests to the API endpoint. Prepare your input text and specify parameters like voice type, speed, and volume.
  5. Step 5: Send a synthesis request. The API will return audio data in real-time or asynchronously for long texts. You can stream the audio directly or save it as a file (e.g., MP3, PCM) for playback or distribution.
  6. Step 6: Implement error handling and logging based on the API response codes to manage request limits, authentication failures, and synthesis errors.
  7. Step 7: Monitor usage and costs through the Tencent Cloud Console's billing and usage statistics dashboards to track consumption and optimize API calls.
  8. Step 8: For production deployment, consider implementing caching for frequent requests, setting up auto-scaling based on demand, and integrating the audio output into your final application workflow, such as a mobile app, website, or IVR system.

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