Text to speech online British accent voices can be very useful to quickly create audio materials or videos for the UK market, and to add variety to recorded conversations in globally targeted videos. British accent voices are often associated with authority and seriousness, especially if they are older. In contrast, younger UK English text to speech voices often have a playful and informal sound.
TTS - 34 Text To Speech Voices - English Non-English Full Version
Deep neural network (DNN) TTS generators are currently the best sounding text-to-speech voices. All Narakeet voices are based on best-in-class technology for text to sound conversion. Try out our voices in the form on this page.
I'm having a similar problem since updating to IOS 11 today... I use my iPhones text to speech function to read my kindle books ( if they don't have audible versions) while I work and after the update, I was excited bc the voices they offered enhanced were so much more human-sounding...
I have been conducting research on the best sounding and easily tuned text to speech voices. Below is a listing of what I thought were the top 5 products in order of sound quality. Most of the websites associated with these product have an interactive demo that will allow for you to make your own determination.
37. An improved version of DECtalk. "DecTalk PC is a new and improved version of the well-known DecTalk speech synthesizer. It represents the state of the art in text-to-speech synthesis. This demonstration will provide some examples of DecTalk's capabilities." "DECtalk has nine standard voices and can speak at rates of 75 to 600 words per minute." "The DECtalk text-to-speech synthesizer converts computer text to intelligible speech." 0.29
58. English greeting with male, female, child, big man, and ridiculous voices. "Welcome to the Bell Labs text-to-speech system."English abbreviations and numbers: "Lumber will cost $3.95 for 7 ft. on Sat." "That fossil from NM is 165,256,011 yr. old" "Dr. Smith lives on Oak Dr., but St. John lives on 71st St." 0.36
WaveNet voices are premium voices using a WaveNet model, the same technology used to produce speech for Google Assistant, Google Search, and Google Translate.WaveNet voices generate speech that sounds more natural than other text to speech systems.
You can train the custom voice model to produce a unique synthetic voice using your own studio quality recordings. through the cloud text to speech API. Among other things, this model can be used to tweak the voices of digital assistants and conversational interfaces. TTS Custom Voice was released in March 2022 and is currently available in English (US, AU, and UK), Spanish (US and Spain), French (France and Canada), Italian, German, Portuguese (Brazil), and Japanese.
Murf is an intuitive voice generator that converts your text to natural-sounding speech in a matter of minutes. Murf offers an extensive library of over 120 AI voices in 20+ languages that can be used to create voiceovers for different applications, including eLearning, podcasts, marketing, audiobooks, IVR, and more. The software's AI voices can replicate the subtleness and nuances of the human voice in speech. Murf's voice generation platform also serves as a video editing tool that creators can use to create a perfectly-timed voice over video with background music. That said, the platform also offers users the ability to edit out noises, unwanted background sounds, make modifications to their script, control how the final voiceover sounds by adjusting the speed, changing the pitch of narration, adding varying lengths of pauses, and more.
With Microsoft Azure's text to speech service, users can generate realistic speech that matches the intonation and emotion of human voices. Azure supports an extensive library of 400 neural voices across 140 languages and variants as well as speaking styles, including newscast, shouting, whispering, emotions like cheerful and sad, and customer service. The platform also offers the ability for users to tune their voice output for different scenarios by easily adjusting rate, pitch, pronunciation, pauses, and more.
Businesses and content creators can use IBM Watson text to speech service to convert written text to natural-sounding speech that can be used across a variety of voice-driven applications from voice-automated chatbots to speech-enabled tools for the disabled or visually impaired to home-automation solutions. Watson TTS offers a wide range of synthetic voices in 13 different languages. To customize the speech output on IBM Watson TTS, users have to use SSML tags.
A cloud-based service, Amazon Polly text to speech helps convert text into lifelike speech. Currently, the application supports 90+ voices across 34 languages and variants. Users can either provide the input as plain text or as SSML tags. For custom pronunciations, the TTS service supports lexicons.
According to a blind study conducted by Google, WaveNet voices in Google text to speech scored 70%+ in a comparison to human speech, thus showing that WaveNet voices produce natural sounding speech. The human voice has an incredible range of emotion and tonality, made even more complex by time, diversity and endless change. A single voice cannot represent all human voices.
Returns the list of voices that are available for use when requesting speech synthesis. Each voice speaks a specified language, is either male or female, and is identified by an ID, which is the ASCII version of the voice name.
Specifies the engine (standard or neural) for Amazon Polly to use when processing input text for speech synthesis. For information on Amazon Polly voices and which voices are available in standard-only, NTTS-only, and both standard and NTTS formats, see Available Voices. 2ff7e9595c
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