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OpenAI Text-to-Speech vs. IBM Watson

The best way to compare OpenAI Text-to-Speech vs. IBM Watson: audio samples, features, plans, pricing, and more.

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Text to speech API - OpenAI Text-to-Speech

OpenAI Text-to-Speech

Convert text into lifelike spoken audio using one of the six built-in voices.
Text to speech API - IBM Watson

IBM Watson

Convert text into natural-sounding speech in a variety of languages and voices.

Voice Quality

OpenAI Text-to-Speech Samples

Mean Opinion Score
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IBM Watson Samples

Mean Opinion Score
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Non-Fiction
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Mean Opinion Score (MOS) is a numerical measure that represents the perceived quality of audio samples, commonly used in evaluating text-to-speech systems. The score ranges from 1 to 5, with 1 indicating poor quality and 5 signifying excellent quality. These scores are derived from comprehensive, professionally-conducted evaluations, and are anonymized to ensure unbiased results.

Features

OpenAI Text-to-Speech Features

Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)

IBM Watson Features

Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)

Features - Conclusion

  • In comparing the features of OpenAI Text-to-Speech and IBM Watson, it's evident that IBM Watson offers a more comprehensive suite of features, including voice cloning, per-word timestamps, pitch and speed control, and support for phone formats.
  • OpenAI Text-to-Speech, while supporting multiple languages, lacks these advanced features, making IBM Watson a more versatile choice for users requiring detailed customization and control over their text-to-speech output.
  • This makes IBM Watson particularly suitable for a wider range of applications, from simple text-to-speech tasks to more complex projects requiring specific voice modifications and detailed audio formatting.

Pricing & Plans

OpenAI Text-to-Speech Pricing

Pay As You Go
$15per
1M characters
Optimized for speed
Pay As You Go (TTS HD)
$30per
1M characters
Optimized for quality

IBM Watson Pricing

Free
$0/mo
10,000 characters
Standard
$20per
1M characters

Pricing & Plans - Conclusion

  • IBM Watson offers a valuable free tier for users with minimal text-to-speech needs, providing 10,000 characters per month at no cost.
  • For those requiring more extensive usage, OpenAI Text-to-Speech presents a more cost-effective solution in its paid plan compared to IBM Watson's Standard Plan.
  • This makes OpenAI an attractive option for users prioritizing budget in their text-to-speech service selection.

Compare Alternatives

OpenAI Text-to-Speech Alternatives

OpenAI Text-to-Speech vs. Unreal Speech
OpenAI Text-to-Speech vs. Amazon Polly
OpenAI Text-to-Speech vs. ElevenLabs
OpenAI Text-to-Speech vs. Play.ht
OpenAI Text-to-Speech vs. Google Cloud Text-to-Speech
OpenAI Text-to-Speech vs. Microsoft Azure AI Speech
OpenAI Text-to-Speech vs. Murf API
OpenAI Text-to-Speech vs. Neets.ai
OpenAI Text-to-Speech vs. Resemble.AI
OpenAI Text-to-Speech vs. LOVO AI
OpenAI Text-to-Speech vs. Deepgram Aura

IBM Watson Alternatives

IBM Watson vs. Unreal Speech
IBM Watson vs. Amazon Polly
IBM Watson vs. ElevenLabs
IBM Watson vs. Play.ht
IBM Watson vs. Google Cloud Text-to-Speech
IBM Watson vs. Microsoft Azure AI Speech
IBM Watson vs. Murf API
IBM Watson vs. Neets.ai
IBM Watson vs. Resemble.AI
IBM Watson vs. LOVO AI
IBM Watson vs. Deepgram Aura

Summary

  • When comparing OpenAI Text-to-Speech and IBM Watson, IBM Watson emerges as the more feature-rich option, offering advanced capabilities such as voice cloning, pitch and speed control, and support for various audio formats.
  • Although OpenAI presents a more budget-friendly option for extensive use, IBM Watson's free tier and comprehensive features make it a versatile choice for a wide range of text-to-speech applications.
  • Ultimately, the decision between the two services will depend on the user's specific needs for voice quality, feature set, and pricing considerations.

Looking for a better alternative to OpenAI Text-to-Speech & IBM Watson?

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