Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Tacotron 2 is an open-source deep learning framework for text-to-speech (TTS) synthesis. It converts written text into natural-sounding speech by generating mel-spectrograms from input text, which are then converted into audio waveforms using neural vocoders such as WaveGlow or HiFi-GAN. Built using PyTorch, Tacotron 2 enables developers and researchers to create high-quality, human-like speech synthesis systems for various applications including virtual assistants, accessibility tools, and AI-based voice generation.
Features of Tacotron 2:
Show the rest of the publisher’s description (14 more lines)
- Generates high-quality, natural-sounding speech from text input.
- Uses sequence-to-sequence architecture with attention mechanism.
- Built on PyTorch with support for CPU and GPU acceleration.
- Compatible with neural vocoders such as WaveGlow and HiFi-GAN.
- Supports training with custom datasets for personalized voice synthesis.
- Widely used in AI research, speech synthesis, and voice-enabled applications.
- Open-source and extensible for research and production use.
Tacotron 2 Usage
$ sudo su
$ cd /opt/tacotron2
$ source /opt/tacotron2/venv/bin/activate
$ python -c "import torch; print(torch.__version__)"
Disclaimer: Tacotron 2 is an open-source text-to-speech framework provided for research and development purposes.,The quality and naturalness of generated speech depend on proper model configuration, trained datasets, and vocoder integration. Users are responsible for ensuring ethical use and compliance with applicable laws and licensing requirements when generating
synthetic speech.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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