语音可理解性和与非电话频率的说话者识别
Xianhui Wang1, Jonathan Ge2, Leo Meller3
1Center for Hearing Research, Departments of Anatomy and Neurobiology, Biomedical Engineering, Cognitive Sciences, and Otolaryngology-Head and Neck Surgery, University of California Irvine, Irvine, California 92697, USA.
JASA express letters
|July 24, 2024
概括
非电话频段有助于语音和语音识别辅音和句子,但不是元音. 全频段音频对于清晰的言语至关重要,特别是在杂的环境中.
科学领域:
- 听力学 听力学是指听力学.
- 语音处理 语音处理
- 声学 声学 在声学方面
背景情况:
- 电话频段 (0.3-3 kHz) 是语音通信的标准.
- 在语音感知中,该频段以外的频率 (<0.3 kHz和>3 kHz) 在语音感知中的作用仍未得到充分研究.
研究的目的:
- 确定非电话频段对语音可理解性和说话者识别的贡献.
- 评估有限带宽在各种条件下对语音感知的影响.
主要方法:
- 评估语音可理解性和使用辅音,元音和句子识别说话者.
- 使用和不使用非电话频段进行测试的性能.
- 在使用非电话频段的噪音中评估语音可理解性.
主要成果:
- 非电话频段显著改善了辅音 (76.0%) 和句子 (77.4%) 的可理解性.
- 只有使用非电话频段的母音可理解性很差 (11.5%).
- 发言者识别对句子 (74.5%) 有效,但对母音 (45.8%) 或辅音 (10.8%) 无效.
- 非电话频段未能在句子级别的噪音中提供令人满意的可理解性.
结论:
- 非电话频段为语音和语音识别提供了好处,特别是对辅音和句子.
- 在非电话频段中,元音的感知很差,这凸显了需要更广泛的频率访问的需要.
- 全频段语音通信对于强大的语音可理解性至关重要,特别是在诸如噪音之类的具有挑战性的声环境中.
更多相关视频
相关概念视频
01:23Design Example
323
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
323
01:18Aliasing
128
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
128
01:21Properties of Fourier Transform I
167
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
167