Datasets:

haejin1320
/

mic-rotate-simulation-v1

pair_id int32 0 4k	source_type stringclasses 4 values	room_id stringclasses 6 values	rt60 float32 0.01 1.2	rotation_direction stringclasses 1 value
3,975	environmental	small_dead	0.15	cw
3,633	environmental	medium_living	0.45	cw
3,972	environmental	medium_living	0.45	cw
3,547	environmental	medium_living	0.45	cw
3,542	environmental	medium_office	0.5	cw
3,730	environmental	large_hall	1.2	cw
3,548	environmental	anechoic	0.01	cw
3,930	environmental	small_dead	0.15	cw
3,829	environmental	anechoic	0.01	cw
3,650	environmental	large_hall	1.2	cw
3,794	environmental	small_dead	0.15	cw
3,737	environmental	medium_office	0.5	cw
3,953	environmental	medium_office	0.5	cw
3,609	environmental	medium_office	0.5	cw
3,868	environmental	medium_office	0.5	cw
3,615	environmental	small_live	0.35	cw
3,782	environmental	anechoic	0.01	cw
3,858	environmental	small_live	0.35	cw
3,681	environmental	large_hall	1.2	cw
3,830	environmental	anechoic	0.01	cw
3,556	environmental	small_dead	0.15	cw
3,720	environmental	anechoic	0.01	cw
3,983	environmental	large_hall	1.2	cw
3,550	environmental	medium_office	0.5	cw
3,833	environmental	large_hall	1.2	cw
3,598	environmental	medium_living	0.45	cw
3,877	environmental	small_live	0.35	cw
3,947	environmental	small_dead	0.15	cw
3,694	environmental	large_hall	1.2	cw
3,747	environmental	medium_office	0.5	cw
3,718	environmental	large_hall	1.2	cw
3,500	environmental	small_live	0.35	cw
3,743	environmental	large_hall	1.2	cw
3,880	environmental	large_hall	1.2	cw
3,693	environmental	medium_office	0.5	cw
3,967	environmental	anechoic	0.01	cw
3,578	environmental	medium_living	0.45	cw
3,741	environmental	medium_living	0.45	cw
3,554	environmental	medium_office	0.5	cw
3,936	environmental	medium_living	0.45	cw
3,959	environmental	large_hall	1.2	cw
3,879	environmental	medium_living	0.45	cw
3,795	environmental	medium_office	0.5	cw
3,672	environmental	medium_office	0.5	cw
3,519	environmental	small_live	0.35	cw
3,968	environmental	small_live	0.35	cw
3,900	environmental	small_live	0.35	cw
3,991	environmental	large_hall	1.2	cw
3,854	environmental	large_hall	1.2	cw
3,668	environmental	anechoic	0.01	cw
3,992	environmental	small_dead	0.15	cw
3,956	environmental	small_live	0.35	cw
3,661	environmental	medium_office	0.5	cw
3,671	environmental	large_hall	1.2	cw
3,996	environmental	small_dead	0.15	cw
3,788	environmental	medium_office	0.5	cw
3,646	environmental	small_dead	0.15	cw
3,527	environmental	large_hall	1.2	cw
3,673	environmental	large_hall	1.2	cw
3,637	environmental	large_hall	1.2	cw
3,665	environmental	medium_office	0.5	cw
3,603	environmental	small_live	0.35	cw
3,752	environmental	medium_living	0.45	cw
3,563	environmental	anechoic	0.01	cw
3,804	environmental	medium_living	0.45	cw
3,639	environmental	medium_living	0.45	cw
3,631	environmental	medium_office	0.5	cw
3,774	environmental	anechoic	0.01	cw
3,971	environmental	small_live	0.35	cw
3,955	environmental	medium_office	0.5	cw
3,653	environmental	small_dead	0.15	cw
3,626	environmental	large_hall	1.2	cw
3,808	environmental	small_dead	0.15	cw
3,898	environmental	large_hall	1.2	cw
3,810	environmental	anechoic	0.01	cw
3,643	environmental	small_live	0.35	cw
3,944	environmental	medium_office	0.5	cw
3,584	environmental	small_live	0.35	cw
3,913	environmental	large_hall	1.2	cw
3,677	environmental	large_hall	1.2	cw
3,767	environmental	medium_office	0.5	cw
3,928	environmental	anechoic	0.01	cw
3,755	environmental	small_dead	0.15	cw
3,820	environmental	medium_office	0.5	cw
3,979	environmental	small_dead	0.15	cw
3,624	environmental	small_live	0.35	cw
3,832	environmental	medium_office	0.5	cw
3,724	environmental	medium_office	0.5	cw
3,594	environmental	anechoic	0.01	cw
3,644	environmental	large_hall	1.2	cw
3,869	environmental	large_hall	1.2	cw
3,845	environmental	large_hall	1.2	cw
3,546	environmental	small_live	0.35	cw
3,574	environmental	large_hall	1.2	cw
3,601	environmental	large_hall	1.2	cw
3,687	environmental	anechoic	0.01	cw
3,579	environmental	anechoic	0.01	cw
3,582	environmental	anechoic	0.01	cw
3,696	environmental	medium_living	0.45	cw
3,709	environmental	large_hall	1.2	cw

End of preview. Expand in Data Studio

MicRotate Simulation Dataset

Android 스마트폰 마이크 회전(0° Portrait → 90° Landscape)에 따른 스테레오 오디오 변환 AI 모델 학습용 시뮬레이션 데이터셋.

Data Fields

Field	Type	Description
`pair_id`	int	페어 고유 ID
`source_type`	str	speech / sine_sweep / white_noise / pink_noise / environmental
`audio_0deg_ch0`	Audio	Portrait 0° MIC_TOP (48kHz)
`audio_0deg_ch1`	Audio	Portrait 0° MIC_BOT (48kHz)
`audio_90deg_ch0`	Audio	Landscape 90° MIC_TOP (48kHz)
`audio_90deg_ch1`	Audio	Landscape 90° MIC_BOT (48kHz)
`room_id`	str	룸 ID (small_dead, medium_office 등)
`rt60`	float	잔향 시간 (초)
`rotation_direction`	str	회전 방향 (cw=시계방향)

Source Type Distribution

Type	Count (train)	Notes
speech	1800	VCTK 48kHz / LibriSpeech 16→48kHz
sine_sweep	450	Log sweep 20Hz–20kHz
white_noise	450	White Gaussian Noise
pink_noise	450	FFT 기반 1/f
environmental	450	FSD50K CC-BY / pink noise fallback