Text To Speech
Our Text-to-Speech software solution convert text into synthetic speech to enable AI assistant voice output, automate responses and improve user interaction across digital platforms and services.
ソフトウェア詳細
Features
MPU (i.MX 8 and i.MX 9)
- Multi-speakers (language-dependent)
- Frequency sampling: 16 kHz or 22 kHz
- Languages: English, Mandarin Chinese, Hindi, Spanish, French, Arabic, Portuguese, Russian, German, Italian, Dutch, Catalan, Czech, Welsh, Danish, Greek, Farsi, Finnish, Hungarian, Indonesian, Icelandic, Georgian, Kazakh, Luxembourgian, Latvian, Malayalam, Nepali, Norwegian, Polish, Romanian, Slovak, Slovenian, Serbian, Swedish, Swahili, Turkish, Ukrainian, Vietnamese
- Natural speech quality
- The TTS model is based on VITS architecture (Variational Inference with adversarial learning for end-to-end Text-to-Speech paper). Depending on the language, there may be several speakers, male or female, different accents and tones of voice. The frequency sampling rate is 16 kHz or 22 kHz depending on the model
MCU (i.MX RT700)
- Leverages NPU
- Frequency sampling: 16 kHz
- Language: English
対応製品
- i.MX8M: i.MX 8Mファミリ - Arm® Cortex®-A53、Cortex-M4、オーディオ、音声、ビデオ
- i.MX91: i.MX 91ファミリ - セキュアでエネルギー効率に優れ、数千ものエッジ・アプリケーションに不可欠なLinux®の機能を実現
- i.MX93: i.MX 93アプリケーション・プロセッサ・ファミリ – Arm® Cortex®-A55、MLアクセラレーション、電力効率に優れたMPU
- i.MX95: i.MX 95アプリケーション・プロセッサ・ファミリ：eIQ® Neutron NPUを内蔵した高性能のセーフティ対応プラットフォーム
- i.MX-RT700: i.MX RT700 Arm® Cortex®-M33、NPU、DSP、GPUコア搭載クロスオーバーMCU
システム要件
- MCU: TensorFlow Lite
- MPU: ONNX
Footprint and Profiling
| Model | Model size [parameters] | Platform / Core | Real Time Factor | DNS-MOS | Quantization format | Code size [MB] | Library dependency |
|---|---|---|---|---|---|---|---|
| MPU | ~20M | i.MX 95 / 6x Cortex-A55 | 0.26 | 4.35 | 8-bit int (linear layers) | ~23 | ONNX |
| - | - | i.MX 8MP / 4x Cortex-A53 | 0.52 | - | - | - | - |
| - | - | i.MX 8MM / 4x Cortex-A53 | 0.59 | - | - | - | - |
| - | - | i.MX 8MN / 4x Cortex-A53 | 0.62 | - | - | - | - |
| - | - | i.MX 91 / 1x Cortex-A55 | 0.97 | - | - | - | - |
| MCU | ~2.2M | Cortex-M33/NPU | 0.24 | 4.17 | 8-bit int + 16a_8w int | 150 kB + 2.6 MB model size (and 1.7 MB + 2.6 MB SRAM) | TFLite |
