# Audio to Audio Datasets: AI Datasets Source: https://savrn.com/datasets/tasks/audio-to-audio Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub · Datasets by Task # Audio to Audio Datasets 7 open-weight audio to audio datasets in the SAVRN Model Hub, with Muhammad Zohaib Hassan, Thezholdoshbekov and Rvc Model publishing the most. 7Datasets 7Publishers 4Licenses ## Most Downloaded | Dataset | Publisher | License | Monthly downloads | | --- | --- | --- | --- | | [Quranic-Translation-Audio-Data](https://savrn.com/datasets/quranic-translation-audio-data) | Muhammad Zohaib Hassan | apache-2.0 | 5.3k | | [speech-to-speech-collections](https://savrn.com/datasets/speech-to-speech-collections) | Meghana Bommadi | other | 532 | | [sirena-libritts-ema](https://savrn.com/datasets/sirena-libritts-ema) | Thezholdoshbekov | other | 125 | | [AURA-Chat-Edit](https://savrn.com/datasets/aura-chat-edit) | Open-Robust Lab | apache-2.0 | 124 | | [spansynth-edit-gallery](https://savrn.com/datasets/spansynth-edit-gallery) | Sungkyun Chang | Not stated | — | | [gbs](https://savrn.com/datasets/gbs) | Rvc Model | other | — | | [reverb-speech-mini](https://savrn.com/datasets/reverb-speech-mini) | Mandip Goswami | cc-by-4.0 | — | ## Licenses | License | Datasets | Commercial use | | --- | --- | --- | | other | 3 | Read the license | | apache-2.0 | 2 | Yes | | not stated | 1 | Not stated | | cc-by-4.0 | 1 | Yes | ## Who Publishes Them | Publisher | Datasets | | --- | --- | | [Muhammad Zohaib Hassan](https://savrn.com/model-publishers/zaibihassan) | 1 | | [Thezholdoshbekov](https://savrn.com/model-publishers/thezholdoshbekov) | 1 | | [Rvc Model](https://savrn.com/model-publishers/rvcmodel) | 1 | | [Open-Robust Lab](https://savrn.com/model-publishers/openrb-lab) | 1 | | [Sungkyun Chang](https://savrn.com/model-publishers/mimbres) | 1 | | [Meghana Bommadi](https://savrn.com/model-publishers/meghanakap) | 1 | ## All 7 Datasets Dataset · Audio to audio ### [Quranic-Translation-Audio-Data](https://savrn.com/datasets/quranic-translation-audio-data) [Muhammad Zohaib Hassan](https://savrn.com/model-publishers/zaibihassan) Quranic Translation Audio Data is a highly curated, standardized, and streaming-optimized multilingual audio dataset containing the complete recitation of translation audios and commentaries of the Holy Quran across 51 different translation directories. Every audio track has been meticulously converted from heavy.mp3 source files into the modern, high-fidelity Opus (.opus) format at a streaming-optimized bitrate of 32kbps. Alongside the audio, the dataset includes highly efficient Protocol Buffer (.pb) files containing word-by-word/verse-by-verse timing data for real-time syncing. This ensures crystal-clear vocal clarity while achieving maximum compression and immediate playback… Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/quranic-translation-audio-data) Dataset · Audio to audio ### [speech-to-speech-collections](https://savrn.com/datasets/speech-to-speech-collections) [Meghana Bommadi](https://savrn.com/model-publishers/meghanakap) 1444 train / 23 validation calls from a production collections voice agent (Hindi/Hinglish), processed into the same schema as MeghanaKap/speech-to-speech-data. sides can be modelled without speaker separation. Real customers are heard in these recordings, so access is gated and reviewed. Kept: the customer's first name (the model must learn to say it), the amounts discussed, and the last 4 digits of the loan the agent reads aloud. Removed: full loan/account numbers, phone numbers (muted in the audio, tagged in the text, and stripped from the word timings), conversation and client ids, the source recording URL, and any digit run of 5 or more in the reference script. slotdict / systemprompt… Access requested at publisher other [View dataset](https://savrn.com/datasets/speech-to-speech-collections) Dataset · Audio to audio ### [sirena-libritts-ema](https://savrn.com/datasets/sirena-libritts-ema) [Thezholdoshbekov](https://savrn.com/model-publishers/thezholdoshbekov) Pilot labeling for the Sirena articulatory speech codec (Phase A/B prep). Pseudo-EMA produced by running the SPARC inverter (WavLM-large layers 0–9 + linear probe, MNGU0) over LibriTTS-R, paired with log-mel. See the Sirena repo's src/precomputeema.py. - sirenanpz.tar — the full set, 115,410.npz files (one per utterance) under librittsc100/. Each: mel float16 (T,80) log-mel @ 50 Hz, ema float16 (T,12) SPARC pseudo-EMA @ 50 Hz. Frames 1:1 (hop 320 @ 16 kHz). - manifest.csv — index: uid, Tframes, durationsec. - analyzerbest.pt — distilled 0.97M conv analyzer (mel→12 EMA), heldout R² mean 0.912 / min 0.895. Keys: model, mmean, mstd, r2, step. - distilllog.csv — per-channel R² over training.… Publicly accessible other [View dataset](https://savrn.com/datasets/sirena-libritts-ema) Dataset · Audio to audio ### [AURA-Chat-Edit](https://savrn.com/datasets/aura-chat-edit) [Open-Robust Lab](https://savrn.com/model-publishers/openrb-lab) AURA-Chat-Edit is a large-scale conversational music editing dataset used to train AURA, a unified multimodal framework for conversational music editing. The dataset contains 66,539 multi-turn dialogues pairing natural-language edit instructions with structured edit-token outputs across 7 edit types. Each dialogue simulates a user requesting a music edit (e.g., "remove the drums", "add a jazzy saxophone") and an assistant responding conversationally while emitting typed edit-token blocks [EDIT ][EDIT0..7] that condition the audio generation bridge. Each line is a JSON object with the following fields: Same format as dialogues.jsonl, but assistant responses include a tag before the edit… Publicly accessible apache-2.0 10K