Datasets:
audio audioduration (s) 29.3 29.5 | id stringclasses 2
values | room stringclasses 2
values | conditions listlengths 1 1 | notes null | source stringclasses 1
value | duration_s float64 29.3 29.5 | sample_rate int64 48k 48k | bit_depth int64 24 24 | audio_format stringclasses 1
value | native_rate int64 48k 48k | peak_dbfs float64 -45.2 -37.6 | floor_dbfs float64 -62 -55.1 | clipped_samples int64 0 0 | browser_processing bool 1
class | device stringclasses 1
value | microphone stringclasses 1
value | input_label null | session_id stringclasses 1
value | contributor null | recorded_at stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20261022T141053Z_bfbk3r | living-room | [
"ac-on"
] | null | room-tone-screen | 29.498 | 48,000 | 24 | flac | 48,000 | -37.6 | -55.1 | 0 | false | OnePlus Nord 3 5G | internal | null | 20261022T132308Z_dllnyx | null | 2026-10-22T14:10:53.171Z | |
20261022T141140Z_oq4yfk | home-office | [
"ac-on"
] | null | room-tone-screen | 29.295 | 48,000 | 24 | flac | 48,000 | -45.2 | -62 | 0 | false | OnePlus Nord 3 5G | internal | null | 20261022T132308Z_dllnyx | null | 2026-10-22T14:11:40.691Z |
Room tone annotations for ASR correction
Room tone: recordings of silence in a labelled room, made with the same phone, microphone and settings as the Hebrish read-speech recordings. Each recording is tagged with the room, the conditions at the time (window open, AC, appliance hum, traffic …) and an optional note.
Uses: noise profiles for denoising, and matching speech takes to the room they were recorded in. The speech
corpora carry the same room value as this dataset, and a room_tone_id when a room tone was recorded in
that room in the same session.
Format
data/train/audio/<id>.flac: 48 kHz, 24-bit, mono FLAC, 10 to 60 seconds, untrimmed. Browser echo
cancellation, noise suppression and auto gain are requested off (browser_processing records whether the
device honoured that). data/train/metadata.jsonl has one row per recording.
| Column | Meaning |
|---|---|
room |
home-office, living-room, kitchen, bedroom (null on early session recordings) |
conditions |
window-open, door-open, ac-on, fan-on, heating-on, appliance-hum, computer-fan, traffic-outside, people-elsewhere, rain, night |
notes |
Free text |
source |
room-tone-screen, or session for room tone captured at the start of a voice-clone session |
duration_s, sample_rate, bit_depth, native_rate |
Audio facts |
peak_dbfs, floor_dbfs, clipped_samples |
Level figures |
device, microphone, input_label, session_id, recorded_at |
Capture context |
Rows are appended by the recording app and never rewritten.
from datasets import load_dataset
ds = load_dataset("Hebrish/Room-Tone-Annotations", split="train")
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