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Altered Studio vs ESPnet

Altered Studio

altered.ai

ESPnet

espnet.github.io

Side by side

FigureAltered StudioESPnet
Price from$30/moFree
Free planYesYes
Free trialYes—
Open source—Yes
WebYes—
WindowsYesYes
macOSYesYes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published62
Spec score · Text-to-Speech Software9.5 (#1)8.9 (#17)
Spec score · Text-to-speech tools9.3 (#6)8.8 (#28)
API accessThe FAQ says API access is offered to Enterprise customers for integrating Studio into other systems.Yes
IntegrationsThe online Voice Editor can work with audio files in Google Drive, and RealTime Pro routes audio through a virtual microphone to apps including Discord, Zoom, Microsoft Teams, and Google Meet.The installation guide lists W&B and TensorBoard among the training dependencies.
LicenceTerms describe Attribution, Creator, Commercial and Streaming licences rather than an open-source licence.The repository and website identify the software as Apache License 2.0.
Text-to-speechText-to-speech offers more than 70 languages and third-party voices from Azure, Google, AWS Polly and IBM.ESPnet includes text-to-speech recipes and Python modules.
Voice cloningUsers can make a Rapid Voice Clone with 4–8 seconds of audio; custom voice models are available by contacting Altered.No
What it doesAltered Studio combines speech-to-speech voice morphing, text-to-speech, cloning, transcription, translation, dubbing and audio editing in one platform.ESPnet is an end-to-end speech-processing toolkit for recognition, synthesis, translation, enhancement, diarization, spoken-language understanding and related tasks.

Plans

Altered Studio

  • FreeFree
  • Creator$30 a month
  • Professional$90 a month
  • Creator$360 a year
  • Professional$1,080 a year
  • EnterprisePriced on request

Altered Studio pricing →

ESPnet

  • ESPnetFree
  • ESPnet open-source toolkitFree

ESPnet pricing →

In their own words

Altered Studio

Altered Studio combines voice transformation and audio production tools for creating professional voice content. Its Speech-to-Speech and Performance-to-Performance morphing changes a voice while retaining the speaker’s performance. Other tools include text-to-speech, voice cloning, AI voice cleaning, denoising, audio editing, DSP effects and batch processing. Studio supports transcription and translation in 75+ languages, and text-to-speech voice-over in 70+ languages. A Rapid Voice Clone can be made from 4–8 seconds of audio; custom voice models are available by contacting Altered. The online Voice Editor can work with Google Drive audio, while RealTime Pro routes audio through a virtual microphone to apps including Discord, Zoom, Microsoft Teams and Google Meet. The free plan includes 3 minutes per month of voice morphing and 10,000 AI tokens. Creator costs $30 a month billed annually; Professional costs $90 a month billed annually. Desktop use requires a Windows PC with an 8GB+ Nvidia GPU, and mobile devices are not currently supported.

Visit altered.ai

ESPnet

ESPnet is an open-source toolkit for speech processing, including recognition, text-to-speech, translation, enhancement, speaker diarization, and spoken language understanding. It provides complete recipes for a range of tasks, plus tutorials, notebooks, and demos for existing models. Users can install ESPnet and espnet-model-zoo with pip to run inference on existing models; published models can also run in CPU or GPU inference containers without checking out the repository. Installation supports editable pip setup and optional dependency groups for tasks such as ASR, TTS, and speech enhancement. Training requires a separate extra that includes Lightning, TensorBoard, W&B, torch_optimizer, matplotlib, and Dask. Some task-specific packages must also be installed separately when a recipe needs them. ESPnet 1 is no longer supported, while ESPnet2 users can skip installing Kaldi. The toolkit is released under Apache License 2.0 and permits commercial use. It offers API access and lists Linux, macOS, Windows, and self-hosted platforms; WAV is the listed export format.

Visit espnet.github.io