recognize_google_cloud()

recognize_google_cloud(
    audio_data: AudioData,
    credentials_json_path: str | None = None,
    language_code: str = "en-US",
    preferred_phrases: list[str] | None = None,
    show_all: bool = False,
    model: str | None = None,
    use_enhanced: bool | None = None
) -> str | RecognizeResponse

import speech_recognition as sr

# Initialize recognizer
r = sr.Recognizer()

# Record audio
with sr.Microphone() as source:
    print("Say something!")
    audio = r.listen(source)

# Recognize with Google Cloud
try:
    text = r.recognize_google_cloud(
        audio,
        credentials_json_path="path/to/credentials.json"
    )
    print(f"You said: {text}")
except sr.UnknownValueError:
    print("Could not understand audio")
except sr.RequestError as e:
    print(f"API error: {e}")

import speech_recognition as sr
import os

# Set environment variable for credentials
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/path/to/credentials.json"

r = sr.Recognizer()

with sr.Microphone() as source:
    audio = r.listen(source)

# No need to specify credentials_json_path
try:
    text = r.recognize_google_cloud(audio)
    print(f"You said: {text}")
except sr.RequestError as e:
    print(f"Error: {e}")

import speech_recognition as sr

r = sr.Recognizer()

with sr.Microphone() as source:
    audio = r.listen(source)

# Boost recognition of specific terms
preferred_phrases = [
    "TensorFlow",
    "Kubernetes",
    "microservices",
    "API gateway"
]

try:
    text = r.recognize_google_cloud(
        audio,
        credentials_json_path="credentials.json",
        preferred_phrases=preferred_phrases
    )
    print(f"Transcript: {text}")
except sr.UnknownValueError:
    print("Could not understand audio")

import speech_recognition as sr

r = sr.Recognizer()

with sr.Microphone() as source:
    audio = r.listen(source)

try:
    text = r.recognize_google_cloud(
        audio,
        credentials_json_path="credentials.json",
        model="phone_call",
        use_enhanced=True
    )
    print(f"Transcript: {text}")
except sr.RequestError as e:
    print(f"Error: {e}")

import speech_recognition as sr

r = sr.Recognizer()

with sr.Microphone() as source:
    audio = r.listen(source)

try:
    # Get full response with word-level details
    response = r.recognize_google_cloud(
        audio,
        credentials_json_path="credentials.json",
        show_all=True
    )
    
    # Process results
    for result in response.results:
        alternative = result.alternatives[0]
        print(f"Transcript: {alternative.transcript}")
        print(f"Confidence: {alternative.confidence}")
        
        # Word-level timing
        for word_info in alternative.words:
            word = word_info.word
            start_time = word_info.start_time.total_seconds()
            end_time = word_info.end_time.total_seconds()
            print(f"  {word}: {start_time:.2f}s - {end_time:.2f}s")
except sr.UnknownValueError:
    print("Could not understand audio")

import speech_recognition as sr

r = sr.Recognizer()

# Spanish recognition
with sr.Microphone() as source:
    print("Habla ahora...")
    audio = r.listen(source)

try:
    text = r.recognize_google_cloud(
        audio,
        credentials_json_path="credentials.json",
        language_code="es-ES"
    )
    print(f"Dijiste: {text}")
except sr.RequestError as e:
    print(f"Error: {e}")

pip install google-cloud-speech

text = r.recognize_google_cloud(
    audio,
    credentials_json_path="/path/to/credentials.json"
)

export GOOGLE_APPLICATION_CREDENTIALS="/path/to/credentials.json"

text = r.recognize_google_cloud(audio)  # No path needed