In the late 19th century, human interaction with voice technology began with Thomas Edison's invention of the phonograph in 1875 and Alexander Graham Bell's creation of the telephone in 1876. These groundbreaking inventions marked the first steps in capturing and transmitting speech through mechanical devices. From that point on, voice became a signal that could be stored and transmitted effectively, paving the way for the development of speech technology.
Speech technology gradually evolved into three main branches. The first involved processing physical signal levels to improve the clarity of speech signals. The second branch focused on speech synthesis, which aimed to generate sound from written words. In 1936, AT&T’s Bell Labs developed the world's first electronic speech synthesizer, which was later used during World War II in phone calls between Roosevelt and Churchill to ensure secure communication. The third branch, speech recognition, is the inverse of speech synthesis and involves converting spoken language into text. This task is far more complex and has become one of the most challenging areas in the field.
Between 1966 and 1972, the development of hidden Markov models significantly influenced speech technology researchers and government initiatives. Starting in 1971, the U.S. launched major projects, including collaborations with institutions like MIT, to build systems for continuous speech recognition. At the same time, the University of Cambridge established a new speech technology laboratory, aiming to advance machine learning and maintain the UK's leadership in this field.
By the 1970s, digital signal processing became a key area in voice technology, with many top universities and companies conducting research in speech recognition. By the early 1980s, the field had started to take shape, with various groups developing their own systems and approaches. As the 21st century began, numerous voice technology startups emerged globally, each pushing the boundaries of what was possible.
Chisheng is one such company that has made significant strides in intelligent voice evaluation and dialogue learning. Building on the legacy of Cambridge University, Chisheng has developed its second-generation intelligent voice technology, which offers improved performance in diverse environments and better adaptability to different accents. This advanced system provides higher accuracy in speech analysis and robustness in human-machine interactions.
As one of the few companies with independent intellectual property and core R&D capabilities in voice technology, Chisheng is at the forefront of innovation. Its intelligent voice solutions are widely applied in education, particularly in language teaching, where it has been successfully implemented in oral English tests and other educational settings. With continuous advancements, Chisheng is helping to shape the future of intelligent voice technology.
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