5 лучших инструментов преобразования текста в речь на 2024 год

1. Google’s Text-to-Speech

Google’s Text-to-Speech technology uses deep learning and natural language processing to convert written text into smooth, natural-sounding speech. Here’s a breakdown of its features and how it works:

  1. Deep Learning Models: Google’s Text-to-Speech leverages deep learning models to synthesize voice. These models are trained on a vast dataset of voice recordings to grasp the nuances of speech.
  2. Linguistic Rules and Synthesis: Beyond deep learning, Google enhances voice synthesis with linguistic rules and algorithms, tweaking speech to match different languages and contexts.
  3. Multilingual Support: The technology supports a variety of languages and dialects, making it flexible for global applications.
  4. Customization: Users can personalize the speech output by adjusting settings such as voice style, speed, and pitch.
  5. Usage: Google’s Text-to-Speech is widely used in products and services like Google Assistant, audiobooks, navigation, and broadcasting, easing the way people interact with devices.

All in all, Google’s Text-to-Speech supports around 50 languages with hundreds of voices to choose from, mainly accessed via API, requiring some technical know-how. There’s a monthly free quota of one million characters, with charges applied once exceeded.

2. AWS’s Text-to-Speech

Amazon Web Services offers Text-to-Speech as part of its cloud services, focused on turning text into fluent speech. Here are some details:

  1. Service Name: The Text-to-Speech service from AWS is named Amazon Polly, a cloud-based offering with a range of high-quality voice outputs.
  2. Multilingual Support: Amazon Polly caters to a wide range of languages and dialects, like English, Spanish, French, German, Italian, Japanese, etc.
  3. Voice Styles: Polly provides different voice styles and options, allowing users to select types (e.g., male or female voices), speed, and pitch.
  4. SSML Support: Amazon Polly supports Speech Synthesis Markup Language (SSML), which gives users more refined control over aspects of voice output.
  5. Real-time Synthesis: Polly can generate speech in real-time through API calls, fitting for immediate needs such as interactive systems and customer service.
  6. Custom Voices: Amazon Polly’s Neural Text-to-Speech (NTTS) offers even more realistic voice synthesis using neural network technology.
  7. Applications: Polly is applied across various domains, from virtual assistants to educational services, simplifying Text-to-Speech use.

Overall, AWS’s Text-to-Speech supports over 20 languages with more than 50 voices and has its own usage limits per month.

3. IBM Watson Text-to-Speech

IBM Watson Text-to-Speech is a voice synthesis technology by IBM, featuring:

  1. High voice quality capturing the essence of human speech tones and moods.
  2. Supports over 30 languages, including English, Spanish, French, German, Italian, Portuguese, and Japanese.
  3. A variety of pronunciation styles suited for regional dialects and age groups.
  4. Highly personalized, adjusting vocal tone, speed, and volume, with gender-specific voice customizations.
  5. Efficient and accessible as cloud service, providing fast voice synthesis without the need for software installation.
  6. Open API access for seamless integration into products and applications.

In essence, IBM Watson Text-to-Speech offers a high-quality, personalized voice synthesis that can be valuable across industries, enhancing accessibility in publishing, e-commerce, and mobile apps.

4. ttsmaker Text-to-Speech

Ttsmaker is an online tool for converting text to speech — type in the text, choose a voice engine and style, and get smooth voice output. It’s handy for voice prompts, broadcasts, and more. However, ttsmaker has a 3000 character limit per entry and a daily cap, which can be inconvenient.

5. Luvvoice Text-to-Speech

Лувголос leverages cutting-edge AI and machine learning to turn text into lifelike, conversational voice. It’s simple to use — enter the text online, pick a language and voice, click submit, and in seconds, your words are spoken. Supporting over 70 languages with more than 200 voices, Лувголос stands out as a completely free service with no costs, character limits, or account logins needed.

Conclusion

In comparison, Google and AWS Text-to-Speech are better suited for larger companies with technical capabilities due to usage restrictions and potential costs. Лувголос, however, is ideal for smaller businesses, individual creators, and general users, offering a vast array of language and voice options, effortless usage, and most importantly, completely free service.