All data is securely stored with encryption.ĪssemblyAI provides a simple AI for speech recognition, speaker detection, speech summarization and more for transcribing and speech-to-text. Users can also add custom vocabularies and custom language models, including redacting harmful words or sensitive PII information.
The service supports dozens of languages, including ten programming languages.
Audio can be recorded live, and separate APIs are available for understanding customer calls and medical conversations in more depth. Customers of this service include Intuit and Nascar.Īmazon’s transcription service can recognize multiple speakers and adds timestamps, enabling you to quickly find moments in the conversation and easily add subtitles to videos. First launched in 2017 for AWS, the service has multiple use cases, including creating automatic subtitles, logging customer support calls, and improving clinical documentation by incorporating spoken notes. Amazon Transcribe is an ML-powered speech-to-text transcription service that automatically transcribes speech into text. The top 10 AI text-to-speech and speech-to-text solutions include:Īmazon is a market leading developer of AI technologies, with many of its core services, including its e-commerce marketplace and smart-home technology, built around AI and ML infrastructure. Here’s our list of the top 10 AI text-to-speech and speech-to-text solutions, based on features offered, investment raised, and which teams they are best suited for. Both services have become far more adept at managing multiple languages and accents. Speech-to-text solutions have become far more accurate, and text-to-speech solutions have become more human-like, with the ability to differentiate between tones and control pitch. These solutions have become increasingly useful as the technology has improved over time. They can help make applications and content more accessible, generate voiceovers and podcasts, enable corporate and HR meetings to be automatically written into clear and legible notes, and aid writers and journalists in editing articles and creating transcripts. This has a wealth of applications for both individuals and enterprise teams. These solutions are also commonly referred to as “Read Aloud” technologies. Voicebox is an important step forward in our generative AI research, and we look forward to continuing our exploration in the audio space and seeing how other researchers build on our work.Speech-to-Text (STT) and Text-to-Speech (TTS) solutions are technologies that rely on machine learning to translate data from an audio form to a written form, or from a written form to an audio form. This capability could be used in the future to help people communicate in a natural, authentic way even if they don’t speak the same languages.ĭiverse speech sampling : Having learned from diverse data, Voicebox can generate speech that is more representative of how people talk in the real world and in the six languages listed above. For example, you can identify a segment of a speech that’s interrupted by a dog barking, crop it, and instruct Voicebox to re-generate that segment – like an eraser for audio editing.Ĭross-lingual style transfer: When given a sample of someone’s speech and a passage of text in English, French, German, Spanish, Polish or Portuguese, Voicebox can produce a reading of the text in any of those languages, even when the sample speech and the text are in different languages. Speech editing and noise reduction: Voicebox can recreate a portion of speech that’s interrupted by noise or replace misspoken words without having to re-record an entire speech. In-context text-to-speech synthesis: Using an audio sample as short as two seconds long, Voicebox can match the audio style and use it for text-to-speech generation.
The versatility of Voicebox enables a variety of tasks, including: They could allow visually impaired people to hear written messages from friends read by AI in their voices, give creators new tools to easily create and edit audio tracks for videos, and much more. In the future, multipurpose generative AI models like Voicebox could give natural-sounding voices to virtual assistants and non-player-characters in the metaverse. The model is also multilingual and can produce speech in six languages. Voicebox can produce high quality audio clips and edit pre-recorded audio - like removing car horns or a dog barking - all while preserving the content and style of the audio. We’ve developed Voicebox, a state of the art AI model that can perform speech generation tasks - like editing, sampling and stylizing - that it wasn’t specifically trained to do through in-context learning. Today, we’re announcing a breakthrough in generative AI for speech.
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