Aller au contenu
ModelPrésentéExterne
Browse files

Inflect Nano v1

Inflect-Nano-v1 is a tiny English text-to-speech model with 4.63M total inference parameters, including its vocoder.

TypeOtherVersionRevision ab03027BClasse

Source du modèle

Type
Other
Taille du fichier
4,55–13,3 MB
Version
vRevision ab03027
Mis à jour
25 sept. 2026
Téléchargements
0
Source
Hugging Face

Extrait de la source

Inflect-Nano-v1 is a tiny English text-to-speech model with 4.63M total inference parameters, including its vocoder.

Sources

1 source
Hugging FacePrincipalVersion ab0302781cb0cb9969a9a28ce8e1b259539275dd
huggingface.co/owensong/Inflect-Nano-v1/tree/ab0302781cb0cb9969a9a28ce8e1b259539275dd

Vérifié 6 sept.

Download files

Artefacts du modèle

2 artefacts

weights/inflect_nano_v1_acoustic.pt

pt · 13,3 MB · SHA-256 0129f730a25a…ec89 · Hugging Face

Download file

weights/inflect_nano_v1_vocoder.pt

pt · 4,55 MB · SHA-256 57482bee18ef…8d08 · Hugging Face

Download file

Extraits de sources

2 extraits

--- 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