aspeak 1.3.0

A simple text-to-speech client using azure TTS API(trial).

:speaking_head: aspeak

A simple text-to-speech client using azure TTS API(trial). :laughing:

TL;DR: This program uses trial auth token of Azure Cognitive Services to do speech synthesis for you.

You can try the Azure TTS API online: https://azure.microsoft.com/en-us/services/cognitive-services/text-to-speech

Installation

$ pip install --upgrade aspeak

Usage

usage: aspeak [-h] [-V | -L | -Q | [-t [TEXT] | -s [SSML]]] [-p PITCH] [-r RATE] [-S STYLE] [-f FILE] [-e ENCODING] [-o OUTPUT_PATH] [--mp3 | --ogg | --webm | --wav | -F FORMAT]
              [-l LOCALE] [-v VOICE] [-q QUALITY]

This program uses trial auth token of Azure Cognitive Services to do speech synthesis for you

options:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -L, --list-voices     list available voices, you can combine this argument with -v and -l
  -Q, --list-qualities-and-formats
                        list available qualities and formats
  -t [TEXT], --text [TEXT]
                        Text to speak. Left blank when reading from file/stdin
  -s [SSML], --ssml [SSML]
                        SSML to speak. Left blank when reading from file/stdin
  -f FILE, --file FILE  Text/SSML file to speak, default to `-`(stdin)
  -e ENCODING, --encoding ENCODING
                        Text/SSML file encoding, default to "utf-8"(Not for stdin!)
  -o OUTPUT_PATH, --output OUTPUT_PATH
                        Output file path, wav format by default
  --mp3                 Use mp3 format for output. (Only works when outputting to a file)
  --ogg                 Use ogg format for output. (Only works when outputting to a file)
  --webm                Use webm format for output. (Only works when outputting to a file)
  --wav                 Use wav format for output
  -F FORMAT, --format FORMAT
                        Set output audio format (experts only)
  -l LOCALE, --locale LOCALE
                        Locale to use, default to en-US
  -v VOICE, --voice VOICE
                        Voice to use
  -q QUALITY, --quality QUALITY
                        Output quality, default to 0

Options for --text:
  -p PITCH, --pitch PITCH
                        Set pitch, default to 0
  -r RATE, --rate RATE  Set speech rate, default to 0.04
  -S STYLE, --style STYLE
                        Set speech style, default to "general"

• If you don't specify -o, we will use your default speaker.
• If you don't specify -t or -s, we will assume -t is provided.
• You must specify voice if you want to use -p or -r option.

Examples

Speak "Hello, world!" to default speaker.

$ aspeak -t "Hello, world"

List all available voices.

$ aspeak -L

List all available voices for Chinese.

$ aspeak -L -l zh-CN

Get information about a voice.

$ aspeak -L -v en-US-SaraNeural

Output

Microsoft Server Speech Text to Speech Voice (en-US, SaraNeural)
Display Name: Sara
Local Name: Sara @ en-US
Locale: English (United States)
Gender: Female
ID: en-US-SaraNeural
Styles: ['cheerful', 'angry', 'sad']
Voice Type: Neural
Status: GA

Save synthesized speech to a file.

$ aspeak -t "Hello, world" -o output.wav

If you prefer mp3/ogg/webm, you can use --mp3/--ogg/--webm option.

$ aspeak -t "Hello, world" -o output.mp3 --mp3
$ aspeak -t "Hello, world" -o output.ogg --ogg
$ aspeak -t "Hello, world" -o output.webm --webm

List available quality levels and formats

$ aspeak -Q

Output

Available qualities:
Qualities for wav:
-2: Riff8Khz16BitMonoPcm
-1: Riff16Khz16BitMonoPcm
 0: Riff24Khz16BitMonoPcm
 1: Riff24Khz16BitMonoPcm
Qualities for mp3:
-3: Audio16Khz32KBitRateMonoMp3
-2: Audio16Khz64KBitRateMonoMp3
-1: Audio16Khz128KBitRateMonoMp3
 0: Audio24Khz48KBitRateMonoMp3
 1: Audio24Khz96KBitRateMonoMp3
 2: Audio24Khz160KBitRateMonoMp3
 3: Audio48Khz96KBitRateMonoMp3
 4: Audio48Khz192KBitRateMonoMp3
Qualities for ogg:
-1: Ogg16Khz16BitMonoOpus
 0: Ogg24Khz16BitMonoOpus
 1: Ogg48Khz16BitMonoOpus
Qualities for webm:
-1: Webm16Khz16BitMonoOpus
 0: Webm24Khz16BitMonoOpus
 1: Webm24Khz16Bit24KbpsMonoOpus

Available formats:
- Riff8Khz16BitMonoPcm
- Riff16Khz16BitMonoPcm
- Audio16Khz128KBitRateMonoMp3
- Raw24Khz16BitMonoPcm
- Raw48Khz16BitMonoPcm
- Raw16Khz16BitMonoPcm
- Audio24Khz160KBitRateMonoMp3
- Ogg24Khz16BitMonoOpus
- Audio16Khz64KBitRateMonoMp3
- Raw8Khz8BitMonoALaw
- Audio24Khz16Bit48KbpsMonoOpus
- Ogg16Khz16BitMonoOpus
- Riff8Khz8BitMonoALaw
- Riff8Khz8BitMonoMULaw
- Audio48Khz192KBitRateMonoMp3
- Raw8Khz16BitMonoPcm
- Audio24Khz48KBitRateMonoMp3
- Raw24Khz16BitMonoTrueSilk
- Audio24Khz16Bit24KbpsMonoOpus
- Audio24Khz96KBitRateMonoMp3
- Webm24Khz16BitMonoOpus
- Ogg48Khz16BitMonoOpus
- Riff48Khz16BitMonoPcm
- Webm24Khz16Bit24KbpsMonoOpus
- Raw8Khz8BitMonoMULaw
- Audio16Khz16Bit32KbpsMonoOpus
- Audio16Khz32KBitRateMonoMp3
- Riff24Khz16BitMonoPcm
- Raw16Khz16BitMonoTrueSilk
- Audio48Khz96KBitRateMonoMp3
- Webm16Khz16BitMonoOpus

Increase/Decrease audio qualities

# Less than default quality.
$ aspeak -t "Hello, world" -o output.mp3 --mp3 -q=-1
# Best quality for mp3
$ aspeak -t "Hello, world" -o output.mp3 --mp3 -q=3

Read text from file and speak it.

$ cat input.txt | aspeak

or

$ aspeak -f input.txt

with custom encoding:

$ aspeak -f input.txt -e gbk

Read from stdin and speak it.

$ aspeak

or (more verbose)

$ aspeak -f -

maybe you prefer:

$ aspeak -l zh-CN << EOF
我能吞下玻璃而不伤身体。
EOF

Speak Chinese.

$ aspeak -t "你好，世界！" -l zh-CN

Use a custom voice.

$ aspeak -t "你好，世界！" -v zh-CN-YunjianNeural

Custom pitch, rate and style

$ aspeak -t "你好，世界！" -v zh-CN-XiaoxiaoNeural -p 1.5 -r 0.5 -S sad

Examples for Advanced Users

Use a custom audio format for output

Note: When outputing to default speaker, using a non-wav format may lead to white noises.

$ python -m aspeak -t "Hello World" -F Riff48Khz16BitMonoPcm -o high-quality.wav

About This Application

• I found Azure TTS can synthesize nearly authentic human voice, which is very interesting :laughing:.
• I wrote this program to learn Azure Cognitive Services.
• And I use this program daily, because espeak and festival outputs terrible :fearful: audio.
  • But I respect :raised_hands: their maintainers' work, both are good open source software and they can be used off-line.
• I hope you like it :heart:.

Alternative Applications

• https://github.com/skygongque/tts
• https://github.com/LuckyHookin/edge-TTS-record/