11.11游戏实时语音推荐

import speech_recognition as sr
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel

# 假设我们有一个预处理过的语音库
voice_database = [...]

# 初始化语音识别器
recognizer = sr.Recognizer()

def get_user_voice():
    with sr.Microphone() as source:
        audio = recognizer.listen(source)
        try:
            user_voice = recognizer.recognize_google(audio)
            return user_voice
        except sr.UnknownValueError:
            return None

def recommend_voice(user_voice):
    if user_voice:
        vectorizer = TfidfVectorizer()
        tfidf_matrix = vectorizer.fit_transform(voice_database + [user_voice])
        cosine_similarities = linear_kernel(tfidf_matrix[-1:], tfidf_matrix[:-1]).flatten()
        related_indices = cosine_similarities.argsort()[:-5:-1]
        recommendations = [voice_database[i] for i in related_indices]
        return recommendations
    return []

# 主循环
while True:
    user_input = get_user_voice()
    if user_input:
        recommendations = recommend_voice(user_input)
        print("推荐内容:", recommendations)