You need voice-overs for your videos and audio content of your blog articles. You need audio content to make your strategy more inclusive and engaging. These five guidelines will help you find the right text-to-speech platform for your needs and drive results.
Text-to-speech technology is growing at a rapid pace. It has numerous integral applications in different industries. Hence, it is crucial to know whether it is accurate.
Text to speech (TTS) is a technology that you cannot afford to ignore. Today, its application is snowballing and is preferred by many business spheres to enhance their customer services. This technology has numerous industry-wide implementations, such as:
The integral role of TTS today cannot be denied. But to what extent can we rely on it? In other words, how accurate is this technology? Keep reading ahead to discover the answers to these questions.
As the name suggests, text-to-speech software converts written text into computerized voice. This artificial generation of human speech is also referred to as speech synthesis. A text-to-speech platform has three components: the text editor, speech synthesizer, and audio player.
All you need to do is enter the text that you want to be converted to audio into the text editor. The speech synthesizer takes that text and generates digital audio. After that, the audio player/playback engine plays the audio.
Some feature-rich TTS platforms also allow you to modify the style, language, pauses, pronunciation, etc., of the voice.
Commonly, computers lack a proper understanding of human language and speech. Hence, the voices they generate, end up feeling more or less unnatural. Their mechanical speech patterns make the audio sound ‘robotic.’
Many TTS platforms do not offer different voice styles and accents because they cannot handle different styles and their pronunciations accurately.
Methods of speech synthesis commonly in use by most TTS software include DBN, HMM, WaveNet, CNN, etc. They consume a lot of time and power in trying to generate a realistic voice.
In doing so, they often cause errors in features like pronunciations, emphasis, etc. They often over smooth these features, giving the voice a muffled sound. It results in a voice that is emotionless and less natural.
Other factors like differences in accents and noisy backgrounds further contribute to degrading the voice quality. Due to these scenarios, traditional TTS platforms are not as accurate as we expect them to be.
All these problems are solved by robust and feature-rich text-to-speech platforms such as Listnr. Listnr uses a state-of-the-art speech synthesis system that is powered by artificial intelligence (AI). That enables it to generate a high quality and realistic voice for you.
Deep learning, a branch of AI, imitates the process through which humans gain knowledge on a specific thing. In this case, Listnr.tech deep learning algorithms enable the platform to learn and understand the way humans use language and its nuances.
As a result, our TTS platform can generate and handle a wider range of voice styles and pronunciations accurately than what other platforms offer. The voices sound more realistic and natural, and the synthesis is more accurate.
Because of this, the platform comes with a vast library of over 570+ different voice styles to choose from for your audio! In addition to that, we offer this in over 75+ different languages.
Besides choosing the language and style, you can also control the pronunciations and pauses in the voice. This customizability gives the voice an added character, while AI takes care of the accuracy!
The self-learning mechanism of deep learning makes Listnr a more accurate, robust, and reliable TTS platform for different industry use cases. Due to this, producing high-quality and accurate realistic voices has become easier than ever before.
Text to speech technology is becoming an integral part of technological services and automated devices. It is hence crucial to ensure its accuracy. To make it more accurate and reliable for industries, AI-powered TTS platforms like Listnr and their deep learning mechanisms are vital!
To find out more about Listnr reach out to us and get started with Listnr for free!
TTS refers to Text to Speech technology. A TTS software takes input from you in the form of text and converts it into speech through its algorithms. Robust TTS platforms like Listnr implement AI (Artificial Intelligence) in the process to produce a speech that sounds more realistic and has better quality than standard TTS voices.
NLP (Natural language processing) is a branch of artificial intelligence that helps effectively produce the desired speech from the text. Feature-rich TTS platforms like Listnr make use of such AI machine learning algorithms to produce a voice that is of a higher quality and sounds more human than other TTS software.
The most realistic TTS voice is the one that makes use of artificial intelligence and robust machine learning algorithms. This can be achieved through AI-powered TTS software like Listnr that can help you generate realistic voices having a higher quality than conventional TTS platforms in over 570+ different voice styles and 75+ different languages.
Azure TTS comes with a free trial for seven days. On the other hand, robust TTS platforms like Listnr are free for 500 text-to-speech conversions a month! It is equipped with a vast library of over 570+ different voice styles and over 75+ different languages to help you get the desired high-quality and realistic TTS voice.
To give voice to your written text, it is best to use robust and feature-rich TTS platforms. Software like Listnr is powered by AI and uses modern machine learning algorithms to help you convert your text into a high-quality realistic voice. Furthermore, you can choose a custom voice style and language of your choice from its vast library.