A beginner's guide to the Higgs-Audio-V2 model by Lucataco on Replicate

Published: (January 4, 2026 at 09:49 PM EST)
2 min read
Source: Dev.to

Source: Dev.to

Overview

The higgs-audio-v2 model is an audio foundation model developed by Lucataco. It is trained on over 10 million hours of diverse audio data and is designed for expressive text‑to‑speech (TTS) generation without the need for extensive fine‑tuning. The model leverages a deep understanding of both language and acoustics to produce high‑quality speech.

Performance

  • EmergentTTS‑Eval benchmarks

    • Emotional category: 75.7 % win rate over GPT‑4o‑mini‑TTS
    • Question category: 55.7 % win rate over GPT‑4o‑mini‑TTS
  • Compared with similar models such as xtts‑v2 and whisperspeech‑small, higgs‑audio‑v2 shows superior handling of nuanced emotional expression and complex speech scenarios, all without requiring post‑training optimization.

Usage

The model accepts plain text input together with a set of optional configuration parameters that influence the characteristics of the generated audio.

Parameters

ParameterDescriptionRange / OptionsDefault
textThe input text to convert to speech."The sun rises in the east and sets in the west"
temperatureControls randomness in generation; lower values produce more deterministic outputs.0.1 – 10.3
top_pNucleus sampling parameter that controls diversity of generated audio.0.1 – 10.95
top_kLimits the vocabulary to the top‑k tokens for sampling.1 – 10050
max_new_tokensMaximum number of audio tokens to generate.256 – 20481024
scene_descriptionContextual description for the audio environment (e.g., recording setting)."Audio is recorded from a quiet room"
system_messageOptional custom system message for additional control.none

Generating Audio

  1. Provide the text you wish to synthesize.
  2. Adjust any of the optional parameters to shape the output (e.g., change temperature for more or less variation).
  3. Submit the request to the model endpoint.

The model returns a high‑quality WAV file containing the synthesized speech.

Output

  • Audio file: A WAV‑format file with the generated speech, ready for playback or further processing.
Back to Blog

Related posts

Read more »