Enables your applications, tools, or devices to convert text into human-like synthesized speech.
Voice Quality
IBM Watson Samples
Mean Opinion Score
Fiction
N/A
Non-Fiction
N/A
Conversation
N/A
Microsoft Azure AI Speech Samples
Mean Opinion Score
Fiction
3.69
Non-Fiction
3.13
Conversation
3.18
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
IBM Watson Features
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
Microsoft Azure AI Speech Features
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
Features - Conclusion
Both IBM Watson and Microsoft Azure AI Speech offer a comprehensive set of features for text-to-speech conversion, including voice cloning, multi-lingual support, per-word timestamps, pitch and speed control, and compatibility with phone formats.
This similarity in features indicates a competitive edge in the market, focusing on versatility and customization to meet diverse user needs.
The choice between the two may ultimately come down to specific preferences for voice quality, pricing, or brand loyalty, as their feature sets do not significantly differentiate them.
Pricing & Plans
IBM Watson Pricing
Free
$0/mo
10,000 characters
Standard
$20per
1M characters
Microsoft Azure AI Speech Pricing
Free
$0/mo
5 hours of audio (~225K chars)
Pay As You Go
$15per
1M characters
Pricing & Plans - Conclusion
In a direct comparison of pricing for text-to-speech services, Microsoft Azure AI Speech emerges as the more economical choice, offering a rate of $15 per million characters on its pay-as-you-go plan.
In contrast, IBM Watson's standard plan is priced at $20 for the same amount of characters.
This makes Microsoft Azure AI Speech a preferable option for users seeking a cost-effective solution for converting large volumes of text into speech.
Customer Reviews
IBM Watson Reviews
4.1 out of 5
Average of 44 ratings from leading review sites.
Customers appreciate IBM Watson Text to Speech for its ease of integration, speed, and support for multiple languages, making it versatile for various applications like education, customer service, and accessibility for the disabled. The ability to customize voice and tone is highly valued. However, some users note issues with pronunciation accuracy, limited language options, and occasional software glitches. The pricing is also considered high for small businesses or individual users.
Ease of integration
Speed
Language support
Customization
Pronunciation accuracy
Software reliability
Pricing
Language diversity
Microsoft Azure AI Speech Reviews
4.2 out of 5
Average of 88 ratings from leading review sites.
Customers appreciate Azure Text to Speech API for its ease of use, high-quality audio output, and seamless integration with other services. They find it particularly beneficial for accessibility and enhancing user experience across various applications. However, concerns about the cost and limited customization options are frequently mentioned. The API's multilingual support and continuous updates are praised, but some users desire improvements in voice naturalness and additional language options.
Both IBM Watson and Microsoft Azure AI Speech offer robust text-to-speech services with a wide range of features including voice cloning, multi-lingual support, and pitch and speed control, catering to diverse user needs with high customization potential.
While voice quality assessments are available for Microsoft Azure AI Speech, indicating a satisfactory performance, IBM Watson's voice quality data is not provided, leaving a gap in direct comparison.
From a pricing perspective, Microsoft Azure AI Speech presents a more cost-effective option with its pay-as-you-go plan at $15 per million characters, compared to IBM Watson's $20 for the same amount, making it a potentially more attractive choice for users prioritizing budget alongside feature richness.
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