datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Turkish_TTS_Dataturkish-audiobook-raw
Turkish Audiobook Speech Corpus (Raw)
Türkçe konuşma araştırmaları için derlenmiş, işlenmemiş uzun-form ses kayıtlarından
oluşan bir koleksiyon. Kayıtlar çeşitli kaynaklardan bir araya getirilmiştir ve
konuşmacı, kayıt ortamı, süre ve ses kalitesi bakımından geniş bir çeşitlilik gösterir.
İçerik
Uzun-form Türkçe konuşma kayıtları (m4a / mp3)
Kaynağa göre klasörlenmiş düz dizin yapısı
Transkript, hizalama veya segmentasyon içermez — ham hâldedir… See the full description on the dataset page: https://huggingface.co/datasets/serdarcaglar/turkish-audiobook-raw.turkish-tts-audiobooks
Turkish TTS Audiobooks
Turkish read-speech corpus for text-to-speech training, built from Turkish
audiobook and spoken-article recordings by an automatic pipeline: VAD
segmentation → technical QC → acoustic event tagging → DNSMOS → speaker
embedding/consistency → double-pass Whisper ASR → text policy → leakage-free
splitting. Audio is 16 kHz mono lossless FLAC embedded in the Parquet shards.
The pipeline that produced it — every stage, every threshold, the export and
audit… See the full description on the dataset page: https://huggingface.co/datasets/serdarcaglar/turkish-tts-audiobooks.Turkish_Speech_Corpus
Turkish Speech Corpus (TSC)
This repository presents an open-source Turkish Speech Corpus, introduced in "Multilingual Speech Recognition for Turkic Languages". The corpus contains 218.2 hours of transcribed speech with 186,171 utterances and is the largest publicly available Turkish dataset of its kind at that time.
Paper: Multilingual Speech Recognition for Turkic Languages.
GitHub Repository: https://github.com/IS2AI/TurkicASR
Citation
@Article{info14020074… See the full description on the dataset page: https://huggingface.co/datasets/issai/Turkish_Speech_Corpus.700h-tr-turkish-text-to-speechkhanacademy-turkish
Khan Academy Turkish Audio Dataset
This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel. The data has been segmented into short clips, each with an average duration of 10.5 seconds.
Accompanying this dataset, you will find a detailed video file tree that provides an overview of the source material.
Dataset Creation Process:The audio was extracted from the Khan Academy Turkish YouTube channel and then processed using several techniques to… See the full description on the dataset page: https://huggingface.co/datasets/ysdede/khanacademy-turkish.TurkishVoiceDataset
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
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Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/cubukcum/TurkishVoiceDataset.Synthetic_Turkish_TTS_Data
Synthetic Turkish TTS Data
This dataset was created by generating synthetic Turkish text across multiple speech scenarios. The text was produced in the following domains: finance_master, cs_master, parcel_delivery, ecommerce, telecom, isp_support, technical_support, subscription, insurance, health_appointments, public_services, education_registration, and daily_speech.
These synthetic texts were then synthesized with a high-quality Turkish TTS model. The dataset is intended to be… See the full description on the dataset page: https://huggingface.co/datasets/Anilosan15/Synthetic_Turkish_TTS_Data.turkish-synthetic-whisper-rounds1-4.5-355h
Turkish Synthetic Whisper Rounds 1–4.5
Archival release of the exact 199,590-record, 355.186-hour synthetic corpus used to fine-tune the final Round 4.5 Whisper Tiny and Base models.
Each row in train.jsonl references both:
training_audio: the exact clean or exactly-once postprocessed waveform used in training; and
clean_audio: its original synthetic clean waveform.
Audio is SHA-256 deduplicated and stored in deterministic tar.zst shards. Common Voice/FLEURS evaluation audio… See the full description on the dataset page: https://huggingface.co/datasets/erayyapagci/turkish-synthetic-whisper-rounds1-4.5-355h.medv3-turkish-medical-asr
medv3 - Türkçe Sentetik Tıbbi Konuşma Korpusu
Türkçe tıbbi konuşma tanıma araştırmaları için hazırlanmış sentetik konuşma korpusudur.
Klinik cümleler Google Cloud Text-to-Speech Chirp 3 HD sesleriyle sentezlenmiştir.
Önemli uyarılar
Tüm kayıtlar sentetiktir (synthetic=true).
Gerçek hasta veya klinisyen sesi ve kişisel sağlık verisi içermez.
Tıbbi cihaz geliştirme onayı veya klinik doğrulama anlamına gelmez.
Klinik karar için değil, araştırma ve ASR… See the full description on the dataset page: https://huggingface.co/datasets/turkmedstt/medv3-turkish-medical-asr.khanacademy-turkish
Not: Bu veri setinin dokümantasyonu Türk yapay zeka topluluğuna katkı sağlamak amacıyla VeriPazarı tarafından Türkçeye çevrilmiştir. Orijinal veri seti ysdede tarafından geliştirilmiş olup, VeriPazarı tarafından Türk AI ekosistemi için arşivlenmiştir.
🔗 Orijinal Kaynak: ysdede/khanacademy-turkish
🔗 Derleyen Platform: VeriPazarı
Khan Academy Türkçe Ses Veri Seti
Bu veri seti, Khan Academy Türkçe YouTube kanalından elde edilmiş 78 saatlik ses kaydını içermektedir. Veriler, her… See the full description on the dataset page: https://huggingface.co/datasets/Taklaxbr/khanacademy-turkish.turkish-stt-arena
Turkish STT Arena
This repository is the metadata and evaluation-code companion for the Turkish
STT Arena. It intentionally contains no source audio, source transcripts, or
materialized manifest. Those materials remain with FLEURS, Common Voice,
MediaSpeech, and each future source under their original licences and access
terms.
Use the code repository to create a local manifest and score predictions. See
docs/sources.md for source-by-source access, licence, and inclusion status.… See the full description on the dataset page: https://huggingface.co/datasets/kadirnar/turkish-stt-arena.turkish-asr-benchmark
TurkMedSTT Turkish ASR Benchmark
This repository publishes general-domain Turkish ASR benchmark metrics produced by
Muhammed Kumcu and Yagmur Tuncer.
Interactive table:
turkmedstt/turkish-asr-leaderboard
The release compares 22 ASR models on general-domain Turkish speech clips drawn from
three established Turkish speech sources. It contains metrics only. Source audio,
reference transcripts, generated hypotheses, local paths, and medical evaluation
results are not distributed.… See the full description on the dataset page: https://huggingface.co/datasets/turkmedstt/turkish-asr-benchmark.turkish-parliament-speechSynthetic_Turkish_TTS_Data
Not: Bu veri setinin dokümantasyonu Türk yapay zeka topluluğuna katkı sağlamak amacıyla VeriPazarı tarafından Türkçeye çevrilmiştir. Orijinal veri seti Anilosan15 tarafından geliştirilmiş olup, VeriPazarı tarafından Türk AI ekosistemi için arşivlenmiştir.
🔗 Orijinal Kaynak: Anilosan15/Synthetic_Turkish_TTS_Data
🔗 Derleyen Platform: VeriPazarı
Sentetik Türkçe TTS Veri Seti (Synthetic Turkish TTS Data)
Bu veri seti, çoklu konuşma senaryoları üzerinden sentetik Türkçe metinler… See the full description on the dataset page: https://huggingface.co/datasets/Taklaxbr/Synthetic_Turkish_TTS_Data.Turkish-Speech-Dataset
🎧 Turkish Speech Dataset
The Turkish Speech Dataset is a high-quality speech audio dataset designed to power modern AI and machine learning solutions with diverse and structured audio data. It includes 123 hours of voice recordings distributed across 802 files, provided in MP3 and WAV formats, with a total size of 105 MB. This carefully curated audio dataset delivers balanced and representative voice data, with 46% female and 54% male speakers, and an age range spanning from 18 to… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Turkish-Speech-Dataset.YodaLingua-Turkish
YodaLingua-Turkish
YodaLingua is a high-quality speech dataset designed for training text-to-speech (TTS) systems, ASR models, and any application requiring clean, well-aligned audio–text pairs.This release contains the Turkish portion of the multilingual YodaLingua collection.
🧾 Dataset Overview
Property
Value
Total clips
56,422 audio–transcription pairs
Total duration
163 hours
Speakers
2,255 distinct speakers
Audio format
MP3 • mono • 24 kHz • 16-bit… See the full description on the dataset page: https://huggingface.co/datasets/Thomcles/YodaLingua-Turkish.Turkish_Speech_Corpus
Not: Bu veri setinin dokümantasyonu Türk yapay zeka topluluğuna katkı sağlamak amacıyla VeriPazarı tarafından Türkçeye çevrilmiştir. Orijinal veri seti issai tarafından geliştirilmiş olup, VeriPazarı tarafından Türk AI ekosistemi için arşivlenmiştir.
🔗 Orijinal Kaynak: issai/Turkish_Speech_Corpus
🔗 Derleyen Platform: VeriPazarı
Turkish Speech Corpus (TSC)
Bu depo, "Multilingual Speech Recognition for Turkic Languages" (Türkî Diller İçin Çok Dilli Konuşma Tanıma) makalesinde… See the full description on the dataset page: https://huggingface.co/datasets/Taklaxbr/Turkish_Speech_Corpus.