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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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This Text-to-Speech (TTS) model is provided solely for research, experimentation, and technology development purposes. Any audio content generated by the model does not represent the voice, identity, opinions, or endorsement of any real individual or organization. The authors and related parties assume no responsibility for any misuse, unlawful activities, violations of privacy, personality rights, intellectual property rights, or any direct or indirect damages arising from the use of this model. Users bear full responsibility and legal liability for the deployment, distribution, and use of the model. The use of this model for impersonation, voice cloning of individuals without lawful consent, creating misleading content, fraud, manipulation of public opinion, or any purpose that violates applicable laws is strictly prohibited. When using or sharing generated audio, it is strongly recommended to clearly disclose that the content is AI-generated and to comply fully with all applicable legal regulations, platform policies, and ethical standards. This model was trained entirely on **self-funded, personal hardware** — every GPU hour and electricity bill came out of my own pocket. If this work is useful to you, a small contribution helps cover the cost of the next training run and keeps future models free and open. Every coffee is hugely appreciated 🙏

Speech synthesis
Input Text→ Output Audio
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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The **Vietnamese Speech-to-Text (ASR)** model is built on the **ZipFormer architecture** — an improved variant of the Conformer — featuring only **30 million parameters** yet achieving **exceptional performance** in both speed and accuracy. On CPU, the model can transcribe a **12-second audio clip in just 0.3 seconds**, significantly faster than most traditional ASR systems without requiring a GPU. This model was trained entirely on **self-funded, personal hardware** — every GPU hour and electricity bill came out of my own pocket. If this work is useful to you, a small contribution helps cover the cost of the next training run and keeps future models free and open. Every coffee is hugely appreciated 🙏 You can try the model directly here: 👉 https://huggingface.co/spaces/hynt/k2-automatic-speech-recognition-demo

Category pending
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
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