piper

TLDR

Synthesize speech

$ echo "Hello world" | piper --model [en_US-lessac-medium] --output_file [output.wav]

List models

$ piper --list-models

Use specific model

$ piper -m [model.onnx] -c [model.json] < [input.txt] > [output.wav]

Set speaker

$ piper --model [model.onnx] --speaker [0] < [input.txt]

Adjust speaking rate

$ piper --model [model.onnx] --length_scale [1.5] < [input.txt]

JSON input mode

$ echo '{"text": "Hello"}' | piper --model [model.onnx] --json-input

SYNOPSIS

piper [--model file] [--outputfile file] [options_]

piper is a fast, local neural text-to-speech system. It generates natural-sounding speech from text.
Models are language and voice specific. Many voices available for common languages.
Processing is local and fast. No internet connection required after model download.
Multi-speaker models support different voices. Speaker ID selects voice variant.
Rate and variation parameters tune output. Length scale adjusts speaking speed.

PARAMETERS

-m, --model FILE

ONNX model file.

-c, --config FILE

JSON config file.

--output_file FILE

Output WAV file.

--output_dir DIR

Output directory.

--speaker ID

Speaker ID for multi-speaker.

--length_scale FLOAT

Speaking rate (higher=slower).

--noise_scale FLOAT

Variation in speech.

--json-input

JSON input format.

--list-models

Show available models.

CAVEATS

Requires model download. Quality varies by model. GPU acceleration optional.

HISTORY

Piper was created by Michael Hansen (rhasspy) for offline voice assistants. It provides fast, high-quality TTS suitable for embedded and edge devices.