IBM Watson Text to Speech is an API cloud service that enables you to convert written text into natural-sounding audio in a variety of languages and voices within an existing application or within watsonx Assistant. Give your brand a voice and improve customer experience and engagement by interacting 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.

I am using ibm watson's text-to-speech api, how do you generate a slight longer pause via the text? I would like to insert pause or silence into the text so when watson convert the text to speech there is a noticeable pause or 1 or 2 seconds?


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The Text to Speech service converts written text to natural-sounding speech. The service streams the synthesized audio back with minimal delay. The audio uses appropriate cadence and intonation for its language and dialect to provide voices that are smooth and natural. The service can be used in applications such as voice-automated chatbots, as well as a variety of voice-driven and screenless applications, such as tools for the disabled or visually impaired, video narration and voice over, and educational and home-automation solutions.

Choose from a variety of male and female voices for different languages. Most languages provide both Neural and Standard voices, although some provide only one type. Neural voices generate audio by relying on Deep Neural Networks to predict the acoustic features of the requested speech. Standard voices assemble audio by concatenating segments of recorded speech.

Annotate input text with the Speech Synthesis Markup Language (SSML), a standard XML-based notation for speech-synthesis applications. Use SSML to control aspects of speech synthesis such as pronunciation, volume, pitch, speed, and other attributes.

I just started working with the java SDK for IBM's Watson TTS. From a Spring app I can save .ogg and .wav files which play fine in Firefox and Audacity. I can also play both files accessed from my website running on Firefox. However neither one will play in Chrome. I don't think it's Chrome itself because it will play .ogg files from other sources, both online and from a file. Interestingly, the Watson demo also doesn't work in Chrome: -to-speech-demo.mybluemix.net/. Has anyone else run into this problem? I'm using the latest version of the java SDK, 3.3.0.

What I'm doing is writing to the audio output file, waiting until the file exists and the size isn't 0, then playing it (I have tried many different libraries such as subprocess, playsound, pygame, vlc, etc. I have also tried many different file types mp3, wav, etc) but for some reason, I am getting an error saying it isn't closing or is corrupted. Once in a while it plays once but as soon as another watson made mp3 is played it errors again. Does anyone know a solution?

Non-cloud based text to speech engines sound too much like robots/machines for me to listen to for any extended period. On Windows there is a program called Balabolka that will turn text into an mp3/wav and it can use various tts engines including arguably the world beating IBM Watson. Here is an example of how good Watson sounds:

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IBM Watson text to speech service converts written text to natural-sounding speech that can be used in a variety of voice-driven applications, such as voice-automated chatbots, as well as tools for the disabled or visually impaired, video narration, and educational and home-automation solutions, among others. Watson TTS has both male and female voices in 13 different languages. The software also provides an API that uses neural voice technology to process natural-sounding voices from written text.

Additionally, Watson text to speech also provides facilities for storing data on secured servers. A Lite version of the application is available for free use, where users get access to easily convert 10,000 characters per month. Furthermore, for a fee, IBM also offers a standard and premium plan.

IBM Watson text to speech offers a range of neural voices closely mimicking human speech. They are generated using advanced deep-learning techniques, producing smooth and natural-sounding voice quality.

Watson text to speech lets you create your own neural voice for a consistent and personalized voice experience. You can model the voice after your chosen speaker by training the system with just an hour of the speaker's recording.

You can control various speech attributes, such as pitch, pronunciation, speech, and volume, using speech synthesis markup language. The fine-tuning ensures the generated voice matches your specific requirement.

With Watson, you can also infuse various expressions into your generated speech. You can choose a specific speaking style, such as GoodNews, Apology, and Uncertainty, to express happiness, sadness, excitement, and more.

Voice transformation is another notable feature of this text to speech software. Users can personalize the output by specifying attributes such as strength, pitch, and breathiness to match a specific speaking style or persona.

An all-around text to speech software should do more than just convert your text to speech and enable you to create compelling voiceovers to engage customers. It should allow both personal and professional users to give shape to their marketing ideas, creative campaigns, storytelling, and more by letting them create content from scratch with natural-sounding voices in different languages. Below are some of the best alternatives to Watson text to speech service:

Murf is a text to speech tool that enhances the quality of your voiceovers using subtle, life like voices that resemble human speech patterns. The software can be used for both business and personal use. Murf offers three more premium plans in addition to its free plan, which users can enroll in on an annual or monthly basis.

Anyone can use Murf's feature-packed studio to convert text into natural-sounding speech and then create quality voice over videos. Its feature-rich platform enables you to make studio-quality videos from the comfort of your home. Additionally, Murf also offers an API that can be integrated into speech-enabled products and services.

A part of the Amazon AI suite, Polly is a cloud-based speech service that helps convert written text into audio in more than 24 different languages. It is a developer's dream because Polly's simple-to-use API can quickly integrate speech synthesis into any system and enable businesses to build speech-enabled applications targetting different geographies. Amazon Polly has a wide range of 47 different voices in multiple dialects; this enables organizations to create content that caters to specific regions. Polly supports standard audio file formats such as MP3 and OGG. Amazon charges Polly on a 'pay-per-use' basis based on the number of text characters that are turned into audio.

The Microsoft Azure text to speech service uses the software giant's advanced AI and machine-learning capabilities to convert written text into natural-sounding speech with high accuracy. The application supports voices in more than 140 languages and can be used for anything from audio content creation to customer service to voice assistants. You can use up to 0.5 million characters per month for free.

Azure TTS service supports both SDK and API. The availability of both makes it a potent tool for developers, especially those building mobile apps. It gives them the freedom to integrate text to speech services into different aspects of their products. It further allows users to fine-tune their speech output with SSML tags to fit different scenarios.

This Google-powered text to speech API lets businesses build speech-enabled applications like IVR systems, chatbots, and much more and process natural-sounding speech from written text in more than 200 voices across multiple languages and dialects. Google Cloud text to speech also offers an interesting feature to train a custom voice model using your own studio-quality audio recordings to create a unique voice.

Google's TTS API delivers high-quality speech by leveraging DeepMind's groundbreaking research in WaveNet and Google's powerful neural networks. The platform allows users to customize their speech output with text and SSML support.

Speechify allows users to read aloud web pages, documents, PDFs, emails, articles, ebooks, and more. The TTS tool is extremely useful for people with learning disabilities like Dyslexia, ADHD, or visual impairments. Users can customize their experience by changing the language and accent of the voiceover, as well as slowing down or increasing the reading speed easily. Speechify offers text to speech voices in 30+ languages across different accents.

One notable feature is the availability of a browser extension, which activates the application on most web pages with text. It becomes particularly helpful to people who read on the internet. To make things even better, the application highlights the sentence and word as it reads, making it easy for the reader to follow and not get distracted.

15.ai is another impressive alternative to IBM Watson text to speech, with a knack for creating natural high-fidelity emotive voices. It generates custom voices by using fictional characters from various movies, TV shows, and other media.

The best feature of 15.ai is its ability to convert text to speech in real-time. As soon as you enter the text content onto the platform and choose a voice, the platform creates the voiceover right away. It uses advanced audio synthesis algorithms, deep neural networks, machine learning, and sentiment analysis model to produce fast, high-quality output.

The application also supports manual altering of the emotion of the speech generated using emotional contextualizers. With its user-friendly platform and non-commercial nature, users can easily create content for their websites, mobile apps, or social media feeds. ff782bc1db

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