Language Identification in Battlefield Environments

doi:10.12382/bgxb.2022.0367

Abstract

Abstract:

To achieve accurate language identification in battlefield environments, a language identification method based on spectrogram gray transformation is proposed. Bandpass filtering is introduced based on the distribution characteristics of speech information and noise information in the spectrogram under battlefield noise conditions. Logarithmic gray spectrogram is extracted in line with human auditory characteristics. An automatic color adjustment algorithm is used to suppress noise information and enhance language information on the spectrogram, and a residual neural network model is used for training and identification. Experimental results show that compared with linear gray spectrogram features, the recognition accuracy is improved by 46% in the -10dB Predator fighter cockpit noise environment. In other noise environments, the recognition performance is also greatly improved.

Key words: language identification, logarithmic grayscale spectrogram, automatic tone scale algorithm, residual neural network

HUA Yingjie, LIU Jing, SHAO Yubin, DUO Lin. Language Identification in Battlefield Environments[J]. Acta Armamentarii, 2023, 44(7): 2197-2206.

Figures/Tables 11

References 28

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α	β
α	0.30	0.35	0.40
0.50	73.74	74.68	76.18
0.45	72.72	79.62	78.70
0.40	72.92	73.12	73.12

α	β
α	0.30	0.35	0.40
0.50	73.74	74.68	76.18
0.45	72.72	79.62	78.70
0.40	72.92	73.12	73.12

噪声源	识别方法	SNR/dB
噪声源	识别方法	-10	-5	0	5	10
	Fbank	20.0	26.3	32.5	63.6	71.3
	LGSS	20.0	22.8	55.5	68.3	73.7
	DBF	20.7	22.5	68.4	79.7	83.7
WN	FRSCIRF	37.7	64.0	76.7	81.7	85.7
	TGSS	22.5	40.7	64.5	80.0	83.5
	FTGSS	26.6	42.3	69.7	80.1	85.1
	FTGSSE	61.2	79.8	83.2	86.0	87.9
	LGSS	20.0	20.1	24.7	44.9	65.7
DORBN	TGSS	20.4	27.8	47.7	73.2	80.4
	FTGSS	20.7	44.2	72.9	79.8	82.6
	FTGSSE	42.6	76.0	81.6	84.4	86.9
	LGSS	19.5	23.5	36.7	62.3	70.7
MVN	TGSS	22.7	30.1	41.3	67.5	74.1
	FTGSS	27.0	38.0	45.1	70.9	80.5
	FTGSSE	37.8	51.2	77.7	84.9	87.2
	LGSS	18.0	27.9	50.2	64.9	73.9
HFCN	TGSS	20.1	34.9	59.2	72.7	78.3
	FTGSS	21.9	40.2	65.1	79.4	84.5
	FTGSSE	62.2	79.0	81.4	85.1	87.0
	LGSS	19.8	31.3	41.5	68.8	73.2
PN	TGSS	21.6	35.2	44.7	70.9	78.4
	FTGSS	22.8	39.6	47.6	72.1	80.3
	FTGSSE	37.3	47.0	77.0	85.4	86.9
	LGSS	53.4	62.1	68.6	69.5	70.9
VN	TGSS	58.2	65.5	71.9	74.3	75.8
	FTGSS	62.0	69.2	75.4	78.7	79.7
	FTGSSE	48.3	67.8	83.5	86.9	88.6
	LGSS	19.7	22.1	21.4	36.9	66.6
F16CN	TGSS	22.6	28.1	34.6	54.7	70.3
	FTGSS	23.4	31.9	45.6	65.6	78.2
	FTGSSE	35.3	43.8	65.1	83.7	86.4
	LGSS	14.1	32.1	41.9	64.2	79.7
BFCN	TGSS	21.5	36.4	43.6	68.1	80.1
	FTGSS	24.9	40.7	47.3	78.9	80.3
	FTGSSE	60.1	78.1	80.4	85.7	86.7
	LGSS	52.5	62.0	65.9	69.2	71.2
MGN	TGSS	53.6	63.4	66.9	69.7	72.3
	FTGSS	54.2	63.7	66.3	71.3	75.9
	FTGSSE	49.3	59.5	67.6	75.3	83.5

噪声源	识别方法	SNR/dB
噪声源	识别方法	-10	-5	0	5	10
	Fbank	20.0	26.3	32.5	63.6	71.3
	LGSS	20.0	22.8	55.5	68.3	73.7
	DBF	20.7	22.5	68.4	79.7	83.7
WN	FRSCIRF	37.7	64.0	76.7	81.7	85.7
	TGSS	22.5	40.7	64.5	80.0	83.5
	FTGSS	26.6	42.3	69.7	80.1	85.1
	FTGSSE	61.2	79.8	83.2	86.0	87.9
	LGSS	20.0	20.1	24.7	44.9	65.7
DORBN	TGSS	20.4	27.8	47.7	73.2	80.4
	FTGSS	20.7	44.2	72.9	79.8	82.6
	FTGSSE	42.6	76.0	81.6	84.4	86.9
	LGSS	19.5	23.5	36.7	62.3	70.7
MVN	TGSS	22.7	30.1	41.3	67.5	74.1
	FTGSS	27.0	38.0	45.1	70.9	80.5
	FTGSSE	37.8	51.2	77.7	84.9	87.2
	LGSS	18.0	27.9	50.2	64.9	73.9
HFCN	TGSS	20.1	34.9	59.2	72.7	78.3
	FTGSS	21.9	40.2	65.1	79.4	84.5
	FTGSSE	62.2	79.0	81.4	85.1	87.0
	LGSS	19.8	31.3	41.5	68.8	73.2
PN	TGSS	21.6	35.2	44.7	70.9	78.4
	FTGSS	22.8	39.6	47.6	72.1	80.3
	FTGSSE	37.3	47.0	77.0	85.4	86.9
	LGSS	53.4	62.1	68.6	69.5	70.9
VN	TGSS	58.2	65.5	71.9	74.3	75.8
	FTGSS	62.0	69.2	75.4	78.7	79.7
	FTGSSE	48.3	67.8	83.5	86.9	88.6
	LGSS	19.7	22.1	21.4	36.9	66.6
F16CN	TGSS	22.6	28.1	34.6	54.7	70.3
	FTGSS	23.4	31.9	45.6	65.6	78.2
	FTGSSE	35.3	43.8	65.1	83.7	86.4
	LGSS	14.1	32.1	41.9	64.2	79.7
BFCN	TGSS	21.5	36.4	43.6	68.1	80.1
	FTGSS	24.9	40.7	47.3	78.9	80.3
	FTGSSE	60.1	78.1	80.4	85.7	86.7
	LGSS	52.5	62.0	65.9	69.2	71.2
MGN	TGSS	53.6	63.4	66.9	69.7	72.3
	FTGSS	54.2	63.7	66.3	71.3	75.9
	FTGSSE	49.3	59.5	67.6	75.3	83.5

噪声源	识别方法	SNR/dB
噪声源	识别方法	-10	-5	0	5	10
WN	LGSS	0.14	0.18	0.52	0.58	0.63
	FTGSSE	0.55	0.79	0.83	0.86	0.88
DORBN	LGSS	0.13	0.16	0.21	0.39	0.61
	FTGSSE	0.39	0.76	0.81	0.84	0.86
MVN	LGSS	0.15	0.21	0.32	0.58	0.65
	FTGSSE	0.37	0.49	0.77	0.85	0.87
HFCN	LGSS	0.13	0.24	0.47	0.62	0.71
	FTGSSE	0.59	0.78	0.80	0.85	0.87
PN	LGSS	0.17	0.28	0.36	0.64	0.67
	FTGSSE	0.36	0.44	0.77	0.85	0.87
VN	LGSS	0.44	0.58	0.64	0.64	0.67
	FTGSSE	0.47	0.67	0.83	0.87	0.88
F16CN	LGSS	0.16	0.20	0.23	0.35	0.62
	FTGSSE	0.33	0.45	0.67	0.84	0.86
BFCN	LGSS	0.11	0.31	0.39	0.61	0.78
	FTGSSE	0.54	0.80	0.78	0.85	0.86
MGN	LGSS	0.50	0.60	0.63	0.65	0.67
	FTGSSE	0.45	0.59	0.68	0.76	0.84