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This tutorial walks through a local Windows/NVIDIA setup for Chatterbox TTS. The speaker demonstrates voice mimicking, multilingual speech and voice conversion, then installs the software from source. He praises its pacing and cadence, but those assessments reflect his examples and preferences rather than a controlled comparison.
The speaker calls short-reference generation voice mimicking and says four or five seconds of audio can produce useful results. He suggests it for avatar and lip sync workflows. The multilingual demo uses Hindi text obtained through Google Translate; he asks Hindi speakers to judge the pronunciation. Voice conversion uses a source recording and a separate reference voice to reproduce the source speech in that voice.
The installation creates a Conda environment named chatterbox with Python 3.11, clones the Resemble AI repository and installs it with pip install -e . The speaker checks the packages, finds Torch without CUDA support, and replaces Torch and torchaudio. For this setup, he specifies version 2.6 with CUDA 12.4.
The repository has separate apps for standard TTS, Turbo, multilingual generation and voice conversion. The Turbo launch downloads its model before exposing a local browser URL. Its interface includes reference audio and cues such as sighs and coughs. Later launches require activating the environment again and running the chosen app. The closing instructions outline putting those commands in a BAT file.
