Respeecher
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About
Respeecher offers a suite of AI-powered voice solutions for various applications. Their services include text-to-speech (TTS) and speech-to-speech (STS) conversion, voice cloning, and emotion transfer technology. They cater to multiple industries including film, TV, animation, gaming, music, podcasts, advertising, healthcare, and cybersecurity. Respeecher provides different pricing plans, including pay-as-you-go options and subscription plans with varying features and usage limits. An enterprise plan is also available for organizations needing custom solutions and high-volume usage. They emphasize ethical AI use and provide options for free trials and testing.
Platform
Task
Features
• multilingual support
• api access
• voice cloning
• text-to-speech (tts)
• ai voice generation
• emotion transfer
• plugin for pro tools
• speech-to-speech (sts)
FAQs
Does Respeecher Marketplace have free trials or starter plans for new users?
Yes! Test our best STS and TTS technology with a free trial, experiencing premium quality voice generation firsthand.
How are AI Voice and Text-to-Speech pricing calculated for high volume use?
Our voice AI price is based on minute usage, offering industry-leading rates for high-volume projects.
What plans does Respeecher Marketplace offer for unlimited use of AI voices and TTS?
Our Subscription plans, and Enterprise plans provide extensive usage of speech generation and voice changing capabilities with flexible monthly billing.
What is the right plan for my project if I need a local voiceover or a unique voice?
Our Pay-as-you-go plan offers the best local TTS and STS solutions with custom voice options per minute.
How does Respeecher Marketplace determine the cost of Premium Text-to-Speech?
Respeecher Marketplace pricing is based on quality levels and usage volume, with API and Plugin access included.
Pricing Plans
Power
$249.50 / Monthly• 3m TTS characters
• 900 min STS
• API Access
• Commercial Usage Rights
• Dedicated Business Manager, Sound Engineer
Enterprise
Unknown Price• Custom
• Custom
• Custom
• Custom
• Custom
• Custom
• Custom
• Custom
• Custom
• Custom
Job Opportunities
Deep Learning Research Engineer
Respeecher provides AI-powered voice cloning and generation services for various applications. They offer flexible pricing plans and prioritize ethical AI practices.
Benefits:
Do real research with deep generative models of audio in a small, scientifically-minded team
Freedom to try out ideas of your own
There might be publication opportunities
Education Requirements:
Degree in computer science or a similar degree
Experience Requirements:
2+ years experience
Other Requirements:
Have advanced knowledge in relevant areas of mathematics and statistics
Have a working knowledge of various techniques, tricks, and best practices for designing deep nets, hyperparameter optimization, visualization, interpretation, etc.
Have a bunch of failure stories about the deep learning projects you’ve been involved in (and some success stories)
Have a good understanding of deep generative models. You may work on autoregressive models, GANs, VAEs, or flow-based models.
Speak Polish fluently
Responsibilities:
Implement and maintain deep learning models in PyTorch
Train models, keep track of performance, and tune hyperparameters
Proactively read relevant literature and generate ideas for model enhancements
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AI Sound Engineer
Respeecher provides AI-powered voice cloning and generation services for various applications. They offer flexible pricing plans and prioritize ethical AI practices.
Experience Requirements:
2+ years experience
Other Requirements:
Be a confident user of DAW
Speak English at Intermediate (or higher) level and have good comprehension of spoken English
Pay attention to detail and an analytical approach to analyzing audio materials
Be able to listen to audio materials for extended periods
Have basic knowledge of Linux and the command line, or a strong desire to learn
Be able to work both in a team and independently
Responsibilities:
Analyzing and structuring audio data and datasets
Experimenting with audio processing, dataset design, and AI model configurations
Working with AI models
Carefully processing AI model training results and selecting the best outputs
Post-processing of synthesized audio
Show more details
Ratings & Reviews
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