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In this article, we are going to see how we can easily integrate an Text-to-Speech engine in your project and how to choose and access the right engine according to your needs.
Text-to-Speech or Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech. The reverse process is speech recognition.
Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database. Systems differ in the size of the stored speech units; a system that stores phones or diphones provides the largest output range, but may lack clarity. For specific usage domains, the storage of entire words or sentences allows for high-quality output. Alternatively, a synthesizer can incorporate a model of the vocal tract and other human voice characteristics to create a completely "synthetic" voice output.
In 1779 the German-Danish scientist Christian Gottlieb Kratzenstein won the first prize in a competition announced by the Russian Imperial Academy of Sciences and Arts for models he built of the human vocal tract that could produce the five long vowel sounds. There followed the bellows-operated "acoustic-mechanical speech machine" of Wolfgang von Kempelen of Pressburg, Hungary. This machine added models of the tongue and lips, enabling it to produce consonants as well as vowels.
In the 1930s Bell Labs developed the vocoder, which automatically analyzed speech into its fundamental tones and resonances. From his work on the vocoder, Homer Dudley developed a keyboard-operated voice-synthesizer called The Voder (Voice Demonstrator), which he exhibited at the 1939 New York World's Fair.
Dr. Franklin S. Cooper and his colleagues at Haskins Laboratories built the Pattern playback in the late 1940s and completed it in 1950. There were several different versions of this hardware device; only one currently survives. The machine converts pictures of the acoustic patterns of speech in the form of a spectrogram back into sound.
Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 100+ voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible. As an easy-to-use API, you can create lifelike interactions with your users, across many applications and devices.
Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly's Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech. With dozens of lifelike voices across a broad set of languages, you can build speech-enabled applications that work in many different countries.
Azure TTS allows to build apps and services that speak naturally. It providers realistic voice generator, and access voices with different speaking styles and emotional tones to fit any use case—from text readers and talkers to customer support chatbots.
The IBM Watson Text to Speech service provides APIs that use IBM's text-to-speech capabilities to convert written text into natural language. The service delivers the synthesized audio back to the client with minimal delay. The audio uses the appropriate cadence and intonation for its language and dialect to provide voices that are smooth and natural.
ReadSpeaker is an independent digital voice partner for brands, institutions and organizations with 20+ years’ experience. Their AI-driven text-to-speech solutions enhance digital accessibility and enable user-friendly, engaging interactions with technology. Offering up to 200+ expressive, humanlike digital voices in 50+ language, ReadSpeaker solutions can be used in any application or device.
ReadSpeaker provides SaaS, SDK and API solutions for streaming and audio production, for online or offline use.
Communication API is a software suite developed by Vonage that includes voice, video, and SMS APIs for developers who specialize in communication platforms for e-learning, virtual technical assistance, and telemedicine appointments. It provides Text-to-Speech that enables to reach over 4.5 billion people with 50+ supported languages, including English, Mandarin, Arabic, Spanish, Hindi and over 200 voice variants, accents and dialects.
ResponsiveVoice is a HTML5-based Text-To-Speech library designed to add voice features to WordPress across all smartphone, tablet and desktop devices. It supports 51 languages through 168 voices and has no dependencies.
Play.ht generates realistic Text to Speech (TTS) audio using online AI Voice Generator and best synthetic voices from Google, Amazon, IBM & Microsoft. Instantly convert text into natural-sounding speech and download as MP3 and WAV audio files.
Voice RSS technology allows users with or without disabilities to receive information more easily and frees the visual sense for other tasks. Today, already many applications provide Text-to-Speech (TTS) technology. Voice RSS provides free text-to-speech online service Voice RSS Text-to-Speech (TTS) API without any software installation.
Nuance TTS establishes a unique voice for your brand and maintains consistent caller experience across your IVR and mobile channels. Designed to empower high‑quality self‑service applications, Nuance TTS creates natural sounding speech in 53 languages and 119 voice options.
Text-to-Speech service can be used in applications such as automated voice conversational agents, as well as in a variety of non-screen voice applications, such as tools for the disabled or visually impaired, video narration and voice-overs, or educational and home automation solutions. It is suitable for applications where audio is the preferred output method.
When you need a Text-to-Speech engine, you have 2 options:
The only way you have to select the right provider is to benchmark different providers’ engines with your data and choose the best OR combine different providers’ engines results. You can also compare prices if the price is one of your priorities, as well as you can do for rapidity.
This method is the best in terms of performance and optimization but it presents many inconveniences:
Here is where Eden AI becomes very useful. You just have to subscribe and create an Eden AI account, and you have access to many providers engines for many technologies including Text-to-Speech. The platform allows you to benchmark and combine results from different engines thanks to a standardized response format for all the providers.
Eden AI provides the same easy to use API with the same documentation for every technology. You can use the Eden AI API to call invoice parser engines with a provider as a simple parameter.
Here is the code in Python (doc) that allows to test Eden AI for Text-to-Speech:
There are numerous receipt parser engines available on the market: it’s impossible to know all of them, to know those who provide good performance. The best way you have to integrate text-to-speech technology is the multi-cloud approach that guarantees you to reach the best performance and prices depending on your data and project. This approach seems to be complex but we simplify this for you with Eden AI which centralizes best providers APIs.
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