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IBM Watson Text to Speech

Score9.1 out of 10

15 Reviews and Ratings

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What is IBM Watson Text to Speech?

IBM Watson Text to Speech is an API cloud service that enables users to convert written text into natural-sounding audio in a variety of languages and voices within an existing application or within Watson Assistant. It can be used to give a brand a voice and interact with users in their native language. Increase accessibility for users with different abilities, provide audio options to avoid distracted driving, or automate customer service interactions to eliminate hold times.

Categories & Use Cases

Who Buys & Uses IBM Watson Text to Speech

IBM Watson Text to Speech Reviews

What users are saying about IBM Watson Text to Speech.
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Text to Speech review.

Incentivized
Andrea BardoneView profile
Manager in Information Technology at Blue Reply (5001-10,000 employees employees)

Use Cases and Deployment Scope

The business problem was read a legal notice to the customer in order to stipulate the contract automatically. We need also other IBM Watson services: speech to text: in order to analyze human response tone analyzer: in order to retrieve the sentiment of the customer The join of all IBM Watson services was a great solution for our case.

Pros

  • Pronunciation
  • Many languages supported.
  • Many voice supported.

Cons

  • Add sentiment variation.
  • Add parameter in order to change the characteristic of the voice.
  • Use custom voice in order to tune the speaker.

Return on Investment

  • Voice assistant market is grow , new business high ROI.
  • Cost saving with Watson instead of other resource.
  • Correct conversation routing savings.

Alternatives Considered

Azure AI (Cortana) and Google Cloud AI

Other Software Used

IBM Watson Tone Analyzer, Flutter, by Google, Google Analytics, IBM Cognos Analytics with Watson

My Insight for IBM Watson Text to Speech

Incentivized
Jessica DanielsView profile
Information Technology Specialist in Information Technology at Houston Airport System (1001-5000 employees employees)

Use Cases and Deployment Scope

We are converting written texts into natural audio. IBM Watson Text to Speech offers speech in a wide range of language variations which boosts customer engagement since we teach a lot of people despite the language barrier.

Pros

  • Improve customer experience and engagement.
  • Offers both on-premise and cloud deployments.
  • Automate requests and transactions in our agency.
  • Voice recognition.
  • Allows me to choose dialect which help select accent of the selected speaker.

Cons

  • For years, I have never had issues while using IBM Watson Text to Speech on my end.

Return on Investment

  • Automating requests helps improve customer satisfaction.
  • Solve customer issues across all company applications.
  • Reduce time handling tickets.
  • Improve customer engagement all over the world.
  • Integrate with external applications in our system.

Alternatives Considered

Azure Cognitive Speech Services

Other Software Used

Tableau Desktop, SAP Access Control

Delivers Value

Incentivized
Siddhant singhView profile
Software Engineer in Information Technology at BIA (11-50 employees employees)

Use Cases and Deployment Scope

I'm a huge fan of Watson Text to Speech, it's a language-agnostic API Service that converts written text into natural-sounding audio. I can integrate it into my apps and websites so that my users can enjoy a superior user experience. I was looking for a solution that would allow me to easily add audio capabilities to my applications and I found this. IBM Watson Text to Speech is a cloud-based text to speech service that allows you to generate audio in a variety of dialects and voices. The service is currently available in English, French, German, Spanish, Korean, Arabic, Mandarin, Cantonese, Danish, Dutch, Finnish, Italian, Japanese, Norwegian, Portuguese, Russian, Swedish, Turkish, and Brazilian Portuguese.

Pros

  • Generate audio in various languages.
  • Easy to integrate in any platform.

Cons

  • Sometimes it mispronounced some words.
  • Lack of sentiments.
  • Need to work on accuracy.

Return on Investment

  • It has saved a lot of time in creating different content for different languages for different clients.
  • Easily integration to website thus saving the cost of high tech dev.

Alternatives Considered

Amazon Polly and Google Cloud AI

Other Software Used

Android Studio, Microsoft Visual Studio Code, Skype

Reliable Text to Speech Cloud Solution

Incentivized
Amanda DonaldsonView profile
Key Account Manager in Finance and Accounting at Wynn Las Vegas (10,001+ employees employees)

Use Cases and Deployment Scope

I use IBM Watson Text to Speech on a daily basis to convert written texts into audio in an extended range of language variations. It makes it easy to engage with customers in their native language.

Pros

  • Supports a wide array of language variations.
  • Audio options avoid distractions when performing other tasks.
  • Cloud based solution that offers robust cloud security.
  • Self-service capabilities.

Cons

  • Based on my experience, IBM Watson Text to Speech is flawless since it suits all our needs.

Return on Investment

  • Enhance rapid and convenient customer interaction.
  • Client issues are easy to solve by allocating critical info in their native language.
  • Automating requests and transactions reduce hold time which improves customer satisfaction.

Alternatives Considered

Amazon Transcribe

Best Service for Text to Speech

Incentivized
Jay ThakkarView profile
Student in Engineering at PP Savani University (201-500 employees employees)

Use Cases and Deployment Scope

IBM Watson Text to Speech is used in our company to create chatbots. We had created a chatbot through IBM Watson Text to Speech. We can analyze voice instructions with it as well. We use IBM Watson Text to Speech to solve a variety of wide-ranging problems. Most websites today come with a voice-based chatbot which is helpful for client convenience.

Pros

  • The Documentation is well managed
  • Pronunciation is good.
  • Variety of languages support

Cons

  • Processing time can reduce
  • Little complex API structure
  • Few time accuracy is not matching

Return on Investment

  • Overall it is good tool
  • Yes, it is good for chatbot

Other Software Used

Slack, Spark AR Studio, Microsoft Visual Studio Code