Convert text into natural-sounding speech in a variety of languages and voices.
Voice Quality
OpenAI Text-to-Speech Samples
Mean Opinion Score
Fiction
N/A
Non-Fiction
N/A
Conversation
N/A
IBM Watson Samples
Mean Opinion Score
Fiction
N/A
Non-Fiction
N/A
Conversation
N/A
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.
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.
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