Text-To-Speech Synthesis
Text-To-Speech Synthesis is a machine learning task that involves converting written text into spoken words. The goal is to generate synthetic speech that sounds natural and resembles human speech as closely as possible.
Papers
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All datasetsLJSpeech20000 utterancesCMUDict 0.7bHUI speech corpusThorsten voice 21.02 neutralTrinity Speech-Gesture Dataset
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | NaturalSpeech | Audio Quality MOS | 4.56 | — | Unverified |
| 2 | VITS | Audio Quality MOS | 4.43 | — | Unverified |
| 3 | Grad-TTS + HiFiGAN (1000 steps) | Audio Quality MOS | 4.37 | — | Unverified |
| 4 | FastSpeech 2 + HiFiGAN | Audio Quality MOS | 4.34 | — | Unverified |
| 5 | Glow-TTS + HiFiGAN | Audio Quality MOS | 4.34 | — | Unverified |
| 6 | FastSpeech 2 + HiFiGAN | Audio Quality MOS | 4.32 | — | Unverified |
| 7 | FastDiff (4 steps) | Audio Quality MOS | 4.28 | — | Unverified |
| 8 | FastDiff-TTS | Audio Quality MOS | 4.03 | — | Unverified |
| 9 | Transformer TTS (Mel + WaveGlow) | Audio Quality MOS | 3.88 | — | Unverified |
| 10 | FastSpeech (Mel + WaveGlow) | Audio Quality MOS | 3.84 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Mia | 10-keyword Speech Commands dataset | 16 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Token-Level Ensemble Distillation | Phoneme Error Rate | 4.6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Tacotron 2 | Mean Opinion Score | 3.74 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Tacotron 2 | Mean Opinion Score | 3.49 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Match-TTSG | MOS | 3.7 | — | Unverified |