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+## Chapter 14: Speech Recognition and Synthesis
+You can use LangChain to create applications that incorporate speech recognition and speech synthesis.
+
+```
+from langchain.llms import OpenAI
+from langchain.chains import LLMChain
+from langchain.prompts import PromptTemplate
+import speech_recognition as sr
+import pyttsx3
+
+# 
+recognizer = sr.Recognizer()
+
+# 
+engine = pyttsx3.init()
+
+# LLM
+llm = OpenAI(temperature=0.7)
+prompt = PromptTemplate(
+    input_variables=["query"],
+    template="You are a helpful assistant. Answer the following query: {query}"
+)
+chain = LLMChain(llm=llm, prompt=prompt)
+
+# 
+with sr.Microphone() as source:
+    print("Speak your question:")
+    audio = recognizer.listen(source)
+
+try:
+    # 
+    query = recognizer.recognize_google(audio)
+    print(f"You said: {query}")
+
+    # LLM
+    response = chain.run(query)
+    print(f"AI response: {response}")
+
+    # 
+    engine.say(response)
+    engine.runAndWait()
+
+except sr.UnknownValueError:
+    print("Sorry, I couldn't understand that.")
+except sr.RequestError as e:
+    print(f"Could not request results; {e}")
+```