Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). With Amazon Lex, you can build bots to increase contact center productivity, automate simple tasks, and drive operational efficiencies across the enterprise. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure.
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Murf AI
Murf API is an advanced text-to-speech (TTS) solution that transforms written text into natural, lifelike voiceovers with remarkable accuracy and ease. It empowers developers and businesses with a suite of sophisticated features, including pitch and speed modulation, audio duration adjustments, customizable pauses, and an extensive pronunciation library. With 133+ AI voices in 20+ languages, including regional accents, Murf API enables businesses to create localized and accessible audio experiences for global audiences. The API supports a variety of audio formats—MP3, WAV, FLAC, ALAW, ULAW, and Base64. Murf API features a transparent, self-serve pricing model with flexible plans, robust security measures, and comprehensive documentation, ensuring effortless integration with chatbots, IVR systems, websites, and mobile apps.
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ReadSpeaker
Lifelike text to speech for your customers. Make your products more engaging with our voice solutions. Add speech to your website & apps to make your content available to a larger audience. Produce your own audio files with our natural-sounding text to speech voices. Give a voice to robots, public announcement systems, IVRs and more with text to speech. Text to speech enables brands, companies, and organizations to deliver enhanced end-user experience, while minimizing costs. Whether you’re developing services for website visitors, mobile app users, online learners, subscribers or consumers, text to speech allows you to respond to the different needs and desires of each user in terms of how they interact with your services, applications, devices, and content.
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Amazon Transcribe
Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.
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