PROVIDERLAST 30 DAYS

official resource

Palabra AI voice AI models and benchmarks

Palabra AI develops speech translation and generation services.

Measured models
1
TTS

Overview

The tested model is multilingual and supports voice cloning plus an on-premises deployment option.

Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.

Model lineup

Text-to-Speech
Palabra TTS v1

Ranked on Time to First Audio against 30 measured models.

Time to First Audioms · lower is better · Palabra AI models markedEvery measured TTS model on Time to First Audio, with Palabra AI's models highlighted.
  1. #2vui124 ms
  2. #3TTS Flash 2128 ms
  3. #4TTS 2176 ms
  4. #5Blizzard235 ms
  5. #6Neural236 ms
  6. #7Mist v3256 ms
leaders plus Palabra AI models · 23 other models in the full table
Word Error Rate% · lower is better · Palabra AI models markedEvery measured TTS model on Word Error Rate, with Palabra AI's models highlighted.
  1. #1TTS RT v13.7%
  2. #2TTS Rt v23.9%
  3. #3Neural4.3%
  4. #6Default4.6%
  5. #7S2.1 Pro4.6%
leaders plus Palabra AI models · 22 other models in the full table
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
Palabra TTS v1Palabra116 ms1st of 30

Limits of this comparison

Coval measures Palabra TTS v1 through Palabra's first-party synthesis endpoint.

  • Translation and dubbing quality are not part of the TTS latency and intelligibility metrics shown here.

Official resources

Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.

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