Everything built for the Kashmiri language, in one place
Kashmiri research is scattered across arXiv, HuggingFace, government portals and university PDFs — which makes it hard to know what already exists, and easy to rebuild something twice. This is a single, tracked catalogue of 205 datasets, papers, models, tools and the groups behind them, spanning 1932–2026.
Where the effort is going
Resource count by task. The long tail is the interesting part — it shows which problems in Kashmiri NLP are still essentially untouched.
100 Shruk Speech-to-Text Dataset
Recordings of traditional Kashmiri shruks paired with Kashmiri-script transcriptions and thematic tags (99 samples), for training and evaluating Kashmiri ASR.
Chaashini
Continuously growing corpus of clean, single-speaker, studio-grade speech in 33 Indian languages (about 2,955 hours), each clip passed through a multi-stage quality gate. Includes Kashmiri.
Indic DiarBench
Joint diarization and ASR benchmark: about 108 hours of natural multi-speaker conversation across the 22 scheduled languages, with human-corrected, speaker-attributed transcripts. Includes Kashmiri.
Sarvam Saaras — Kashmiri Speech Recognition
Commercial speech-recognition API from Sarvam AI that lists Kashmiri (ks-IN) among its languages.
Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages
Profiles 50 Indian speech datasets in 26 languages for nine speech tasks. Kashmiri has about 170–180 hours across four datasets and is among the languages the authors say urgently need more data (under 400 hours).
A Wav2Vec2 Model-Based Automatic Speech Recognition System for Low-Resource Kashmiri Language
Journal paper on a Wav2Vec2-based speech recognition system for Kashmiri.
Emotion Recognition in Kashmiri Speech Using Bidirectional LSTM Networks
Evaluates coefficient-based acoustic features with bidirectional LSTM networks for recognising emotion in Kashmiri speech — one of the few affective-computing studies targeting the language.
Kashmiri Audio Corpus (Segmented)
1,955 segmented speech samples (16kHz, 16-bit, mono WAV) derived from OpenSLR-122. Ready-to-use format for ASR training pipelines.
Omnilingual ASR Corpus
Spontaneous speech recordings with transcriptions in 348 under-served languages, collected for Meta's Omnilingual ASR project. Includes Kashmiri (kas_Arab) train, dev and test splits.
UrduSpeech — Urdu & Kashmiri Speech Corpus
Multi-style, professionally recorded speech corpus covering Urdu and Kashmiri, designed for both text-to-speech and automatic speech recognition.
IndicVoices — Kashmiri
AI4Bharat's natural and spontaneous speech corpus for 22 Indian languages (23.7K hours in total), with a Kashmiri split for speech recognition.
MMS ulab v2
8,900 hours of unlabelled speech in 4,023 languages for language identification, spoken language modelling and representation learning; a reproduced and extended MMS ulab.
Spoken Kashmiri Recognition Using Hybrid CNN-gMLP
Hybrid CNN-gMLP model for spoken Kashmiri word recognition. Addresses phonetic diversity and dialectal variations with data augmentation strategies.
Indian Kashmiri Speech Recognition Corpus (Mobile)
Commercial ASR corpus: 115.34 hours of Kashmiri speech from 218 speakers (102 male, 116 female) across 77,255 utterances recorded in quiet environments. The largest Kashmiri speech collection known, though it is licensed rather than open.
Kashmir-ASR
Open-source project for automatic speech recognition of the Kashmiri language, providing code and pipeline scaffolding for building Kashmiri ASR systems.
AI4Bharat
The most significant producer of open Indic language technology. Behind IndicTrans2, the BPCC corpora, IndicBERT, IndicConformer ASR and Indic Parler-TTS — most of the general-purpose models that currently support Kashmiri at all.
Kashmiri Raw Speech Corpus (LDC-IL)
Natural raw speech corpus for Kashmiri covering multiple dialects, age groups and both genders. Speech was collected across the Valley from Pulwama, Srinagar and Anantnag, comprising words, sentences and running text.
Kashmiri Speech Recognition Using Linear Predictive Coding and Neural Networks
Early Kashmiri ASR work recognising isolated spoken digits zero to nine across male and female speakers, using LPC feature extraction and artificial neural networks. Reports 92% accuracy on 350 speech samples.
IndicConformer ASR — Kashmiri
Conformer-Large (120M params) ASR model with hybrid CTC-RNNT decoder specifically for Kashmiri speech. Requires 16kHz mono WAV input. Uses AI4Bharat NeMo framework.
Bhasini — National Language Translation Mission
Official Indian government AI platform with Kashmiri translation, ASR, and TTS APIs. Free to use for developers. Includes models for all 22 scheduled languages.
Kashmiri Data Corpus (OpenSLR-122)
Transcribed audio recordings from native Kashmiri speakers for Automatic Speech Recognition (ASR) development. The foundational Kashmiri speech dataset. GPL-3.0 licensed.
Kashmiri Spoken Words Dataset
Processed audio data of 12 frequently spoken Kashmiri words. Designed for spoken word recognition and voice command research.
kashurai — Kashmiri Dataset Collection
Curated community collection grouping Kashmiri-specific LLMs, text datasets, and ASR models in one browsable hub. Great starting point for discovery.
kscp — Kashmiri Speech Corpus Processing
Tools for processing audio and text data from OpenSLR Kashmiri Data Corpus. Includes preprocessing pipelines, data loaders, and segmentation utilities.
XLS-R 300M (Wav2Vec2)
Self-supervised speech model pretrained on 436K hours of audio in 128 languages. Fine-tunable for Kashmiri ASR tasks with limited labeled data.
Something missing?
This hub is only useful if it stays current. If you have built a Kashmiri dataset, model, tool, or published a paper — or you know of one that is not listed — send it over. Submissions are reviewed before they appear.
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