ipa
Datasets
All datasets matching “ipa”iPanTSMini
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ghana-speech-ipa
Ghana Speech — Audio with IPA Transcripts
Speech with both transcript forms: the original orthography and the IPA phoneme
sequence read off the audio by ASR. Each language is a subset, with real
train/validation splits.
from datasets import load_dataset
ds = load_dataset("ghanaopendata/ghana-speech-ipa", "Akuapem_Twi_twi", split="train")
ds[0]["audio"] # decoded waveform, 16 kHz
ds[0]["text"] # original orthography
ds[0]["ipa"] # IPA phonemes
369,347 clips · ~747 h… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ghana-speech-ipa.Crop_Disease_Image_Dataset
Crop Disease Image Dataset (5 Crops, 19 Classes)
Dataset Summary
The Crop Disease Image Dataset is a curated, high-quality agricultural image dataset designed for computer vision, deep learning, and smart farming applications. It contains 22,169 RGB leaf images spanning 5 major crops across 19 distinct healthy and diseased classes.
This dataset was constructed by collecting, filtering, and standardizing images from multiple open-source agricultural repositories… See the full description on the dataset page: https://huggingface.co/datasets/ipartzix/Crop_Disease_Image_Dataset.voxcpm2-ghana-speech-ipa-latents
VoxCPM2 Ghana — Precomputed AudioVAE Latents
Precomputed VoxCPM-2 AudioVAE latents for a Ghanaian multilingual TTS fine-tune,
ready for training with the official train_voxcpm_finetune.py
(train_manifest: ghana-latents). No audio decoding or VAE encoding needed at train
time — the latent feat is fed straight to the VoxCPM-2 model with the IPA transcript.
Each language is a dataset subset:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/voxcpm2-ghana-speech-ipa-latents.new-twi-tts-aligned-ipa
new-twi-tts-aligned + IPA phonemes
ghanaopendata/new-twi-tts-aligned with a machine-generated IPA phoneme
transcription for every clip, produced with
ghananlpcommunity/ghana-speech-phoneme-asr.
Audio included — this is self-contained, no join with the source dataset needed.
Contents
split
clips
hours
phoneme units
mean units/clip
test
16,140
17.24
663,140
41.1
train
145,258
155.21
5,945,389
40.9
Columns
column
type
meaning… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/new-twi-tts-aligned-ipa.ipapack_plus_train_4