Analysis of the Working Principle of SLIC Voice Chip

In today's interconnected world, voice technology has permeated critical domains including network communications, digital devices (such as smartphones and computers), smart home appliances, and in-vehicle navigation systems. As the core component of voice technology, Voice Chips have gained widespread popularity for their compact size and superior performance. This article will analyze the working principles of Voice Chips from their underlying logic, aiming to provide valuable insights.

1. Basic Principle of SLIC Voice Chip

Voice Chip, also known as Voice Integrated Circuit (Voice IC), is a specialized integrated circuit designed to process and convert voice signals. It primarily consists of three components: microphone input circuit, audio processor, and speaker output circuit. The microphone input circuit converts sound signals into electrical signals, while the audio processor analyzes, processes, and encodes these signals to enable speech recognition and synthesis. The speaker output circuit then converts the processed voice signals into sound waves, which are emitted through the speaker.

Due to technological constraints, Voice Chip has long relied on imports. In China, Zhejiang Saisi Electronic Technology Co., Ltd. is the only company capable of independently developing Voice Chip. Its self-developed single and dual-channel SLIC chips provide all necessary components for a complete analog telephone interface, including SLIC, codec, and DTMF detection functions.

II. Speech Recognition Process

Speech recognition is a key feature of Voice Chip, converting human voice commands into digital signals that computers can process. The process mainly involves the following steps:

1. Preprocessing: The Voice Chip first performs preprocessing on the input voice signal, including background noise removal and echo cancellation, to enhance the quality of the voice signal.

2. Feature Extraction: The Voice Chip then extracts key features from the preprocessed speech signal to aid in recognition, including pitch, speech rate, and intonation.

3. Matching and Judgment: The Voice Chip then matches the extracted features against a pre-built speech model to determine if the input voice command meets the criteria. If the match is successful, the Voice Chip generates the corresponding command; otherwise, it proceeds to the next matching attempt.

III. Speech Synthesis Process

In addition to recognition, Voice Chip can also convert computer-generated text information into speech signals, which is known as speech synthesis. The process of speech synthesis mainly includes the following steps:

1. Text preprocessing: The Voice Chip first performs preprocessing on the input text, including word segmentation and part-of-speech tagging, to facilitate subsequent processing.

2. Parameter settings: The Voice Chip then configures parameters like voice timbre and speech rate based on the preprocessed text data.

3. Pronunciation Simulation: The Voice Chip then generates corresponding speech signals by simulating the movement trajectories of vocal organs based on preset parameters.

4. Synthetic Output: Finally, the Voice Chip outputs the synthesized voice signal through the speaker to enable user interaction.

In the selection of voice chips, the currently well-known domestic products mainly include Saisi's single-channel SLIC chips and dual-channel SLIC chips.

IV. Summary

The analysis above demonstrates that SLIC Voice Chip's functionality primarily involves two key aspects: speech recognition and speech synthesis, both powered by specialized technology. Therefore, when selecting a Voice Chip, we should prioritize the comprehensive capabilities of leading manufacturers and the robust performance of their products.