Inflect Nano v1
Inflect-Nano-v1 is a tiny English text-to-speech model with 4.63M total inference parameters, including its vocoder.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 4,55–13,3 MB
- Versão
- vRevision ab03027
- Atualizado
- 25 de set. de 2026
- Downloads
- 0
- Fonte
- Hugging Face
Trecho da fonte
Inflect-Nano-v1 is a tiny English text-to-speech model with 4.63M total inference parameters, including its vocoder.
Fontes
1 fonte
Fontes
1 fonteVerificado 6 de set.
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Artefatos de modelo
2 artefatos
Artefatos de modelo
2 artefatosweights/inflect_nano_v1_acoustic.pt
pt · 13,3 MB · SHA-256 0129f730a25a…ec89 · Hugging Face
Download fileweights/inflect_nano_v1_vocoder.pt
pt · 4,55 MB · SHA-256 57482bee18ef…8d08 · Hugging Face
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2 trechos
Trechos de fonte
2 trechos--- license: apache-2.0 language: - en tags: - text-to-speech - tts - speech-synthesis - pytorch - ultra-small - local-tts - efficient-inference - experimental pipeline_tag: text-to-speech library_name: pytorch --- <p align="center"> <img src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/assets/inflect-nano-banner.png" alt="Inflect-Nano banner" width="100%"> </p> # Inflect-Nano-v1 **Inflect-Nano-v1 is a tiny English text-to-speech model with 4.63M total inference parameters, including its vocoder.** It is not trying to beat large TTS models. It is a small, local, complete text-to-waveform stack built to test how far ultra-lightweight speech synthesis can go. ## Highlights - **4.63M parameters total** - **Includes the vocoder** - **24 kHz audio** - **Single English male voice** - **Runs locally with PyTorch** - Built for tiny-model experiments, local assistants, embedded demos, and efficient inference research ## Listen | Text | Audio | |---|---| | "Did the timing change?" she answered. "Then why did Logan leave?" | <audio controls preload="none" src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/examples/example_01.wav"></audio> | | Who puts a parking meter next to an ER label? | <audio controls preload="none" src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/examples/example_02.wav"></audio> | | Please say neighborhood, statistics, and anesthesiologist clearly, without rushing through the middle syllables. | <audio controls preload="none" src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/examples/example_03.wav"></audio> | | I said 91, not 306, which is a very different number. | <audio controls preload="none" src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/examples/example_04.wav"></audio> | | The inference path looked natural, but the decoder still needed a smoother transition before Marcus approved the final test. | <audio controls preload="none" src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/examples/example_05.wav"></audio> | | The appointment moved to 1:25, the invoice was $674.96, and the archive was labeled 1998. | <audio controls preload="none" src="https://huggingface.co/owensong/Inflect-Nano-v1/resolve/main/examples/example_06.wav"></audio> | | If Logan sounded uneasy, then it happened near Long Beach, and the pause has to carry that. |...
Source context: 0 downloads · 225 likes · Pipeline text-to-speech · Library pytorch · Repo owensong/Inflect-Nano-v1
