Gtts Male Voice __full__ May 2026

from google.cloud import texttospeech client = texttospeech.TextToSpeechClient() synthesis_input = texttospeech.SynthesisInput(text="Hello, I am a male voice") voice = texttospeech.VoiceSelectionParams( language_code="en-US", name="en-US-Neural2-D", # Male voice ssml_gender=texttospeech.SsmlVoiceGender.MALE ) audio_config = texttospeech.AudioConfig(audio_encoding=texttospeech.AudioEncoding.MP3) response = client.synthesize_speech(input=synthesis_input, voice=voice, audio_config=audio_config)

engine.say("Hello, I am a male voice using pyttsx3") engine.runAndWait() gtts male voice

return male_audio male_audio = gtts_male_voice("This is a male-sounding voice using GTTS.") male_audio.export("male_voice.mp3", format="mp3") from google

import pyttsx3 engine = pyttsx3.init() voices = engine.getProperty('voices') for v in voices: print(v.id, v.name, v.gender) # Some show gender Pick a male voice (e.g., 'HKEY_LOCAL_MACHINE\SOFTWARE...' on Windows) for v in voices: if 'male' in v.name.lower(): engine.setProperty('voice', v.id) break Better Alternative: Use pyttsx3 (Offline

This is a timbre shift, not a true male voice model. It sounds deeper but may be slightly robotic. 3. Better Alternative: Use pyttsx3 (Offline, Male Voice Selectable) If you need real male voices without cloud dependency, use pyttsx3 (works on Windows, macOS, Linux).

# Change pitch (negative = lower, positive = higher) # Lower pitch simulates male voice new_sample_rate = int(audio.frame_rate * (2.0 ** (pitch_semi / 12.0))) male_audio = audio._spawn(audio.raw_data, overrides='frame_rate': new_sample_rate) male_audio = male_audio.set_frame_rate(audio.frame_rate)