Websockets JSON

Python

import asyncio
import json
import websockets
import base64

class RimeClient:
    def __init__(self, speaker, api_key):
        self.url = f"wss://users-ws.rime.ai/ws3?speaker={speaker}&modelId=arcana&audioFormat=mp3"
        self.auth_headers = {
            "Authorization": f"Bearer {api_key}"
        }
        self.audio_data = b''

    async def send_messages(self, websocket, messages):
        for message in messages:
            await websocket.send(json.dumps(message))

    async def handle_audio(self, websocket):
        while True:
            try:
                audio = await websocket.recv()
            except websockets.exceptions.ConnectionClosedOK:
                break
            message = json.loads(audio)

            if message['type'] == 'chunk':
              self.audio_data += base64.b64decode(message['data'])

            if message['type'] == 'timestamps':
                print("Rime model pronounced the words...\n")
                for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
                    print(f"'{w}' at time {t}")

    async def run(self, messages):
        async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
            await asyncio.gather(
                self.send_messages(websocket, messages),
                self.handle_audio(websocket),
            )

    def save_audio(self, file_path):
        with open(file_path, 'wb') as f:
            f.write(self.audio_data)
        print(f"\n Audio saved at {file_path}")


message = [
    {"text": "This "},
    {"text": "is "},
    {"text": "a "},
    {"text": "test "},
    {"operation":"clear"},
    {"text": "This "},
    {"text": "is "},
    {"text": "an "},
    {"text": "incomplete "},
    {"text": "sentence "},
    {"operation": "eos"},
]

client = RimeClient("astra", api_key="xxx")
asyncio.run(client.run(message))

client.save_audio("output.mp3")

Overview

In addition to a plaintext websocket implementation, Rime also has an implementation that sends and receives events as JSON objects. Like the other implementation, all synthesis arguments are provided as query parameters when establishing the connection.

The websocket API buffers inputs up to on of the following punctuation characters: ., ?, !. This is most pertinent for the initial messages sent to the API, as synthesis won’t begin until there are sufficient tokens to generate audio with natural prosody. After the first synthesis of any given utterance, typically enough time has elapsed that subsequent audio contains multiple clauses, and the buffering becomes largely invisible.

Messages

Send

Text

This is the most common message, which contains text for synthesis.

schema:

type TextMessage = {
  text: string,
  contextId?: string,
}

examples:

{
    "text": "this is the minimum text message."
}

{
    "text": "this is a text message with a context id.",
    "contextId": "159495B1-5C81-4C73-A51A-9CE10A08239E"
}

Context IDs can be provided, which will be attached to subsequent messages that the server sends back to the client. Rime will not maintain multiple s imultaneous context ids. The events will contain the most recent context ID at the time that audio was requested. In the above examples, even if both messages are received by the server before it sends any audio, the audio response for the first sentence will be tagged with contextId: null, and the audio for the second will be tagged with its UUID.

Clear

Your client can clear out the accumulated buffer, which is useful in the case of interruptions.

{ "operation": "clear" }

Flush

This forces whatever buffer exists, if any, to be synthesized, and the generated audio to be sent over.

{ "operation": "flush" }

EOS

At times, your client would like to generate audio for whatever remains in the buffer, and then have the connection immediately closed.

{ "operation" : "eos" }

Receive

Chunk

The most common event will be the audio chunk.

type Base64String = string

type AudioChunkEvent = {
  type: "chunk",
  data: Base64String,
  contextId: string | null,
}

The audio will be a base64 encoded chunk of audio bytes in the audio format specified when the connection was established. If you provided any context id when sending the relevant text, it’ll be included here.

Timestamps

Word timestamps are provided to better understand what precisely has been already said, in the event of an interruption.

type TimestampsEvent = {
  type: "timestamps",
  word_timestamps: {
    words: string[],
    start: number[],
    end: number[],
  },
}

Done

After the last audio chunk for a synthesis batch has been sent, the server emits a done event. This signals that the current synthesis is fully complete. If the client sends more text and triggers further synthesis, another done will follow.

type DoneEvent = {
  type: "done",
  contextId: string | null,
}

When exactly done fires depends on the segment setting. See Segmentation & Behavior Settings for full details.

Error

In the event of a malformed or unexpected input, the server will immediately respond with an error message. The server will not close the connection, and will still accept subsequent well-formed messages. It’s up to the client to decide if it wants to close upon receiving an error.

type ErrorEvent = {
  type: "error",
  message: string,
}

Variable Parameters

speaker · string · required

Must be one of the voices listed in our documentation for arcana.

text · string · required

The text you’d like spoken. Character limit per request is 500 via the API and 1,000 in the dashboard UI.

modelId · string

This value must be set to arcana else the websockets server will default to mistv2 for speech synthesis.

audioFormat · string

One of mp3, mulaw, or pcm

lang · string · default: "eng"

If provided, the language must match the language spoken by the provided speaker. This can be checked in our voices documentation.

samplingRate · int · default: "24000"

The sampling rate (Hz).

• On-cloud: Accepted values: 8000, 16000, 22050, 24000, 44100, 48000, 96000. Anything above 24000 is up sampling.
• On-prem: Any value is accepted.

segment · string · default: "bySentence"

Controls how text is segmented for synthesis. Available options:

• “immediate” - Synthesizes text immediately without waiting for complete sentences
• “never” - Never segments the text, waits for explicit flush or EOS
• “bySentence” (default) - Waits for complete sentences before synthesis

Note: For backward compatibility, setting immediate=true in query params is equivalent to segment=immediate. If a null value is provided, it will default to “bySentence”.

Python

import asyncio
import json
import websockets
import base64

class RimeClient:
    def __init__(self, speaker, api_key):
        self.url = f"wss://users-ws.rime.ai/ws3?speaker={speaker}&modelId=arcana&audioFormat=mp3"
        self.auth_headers = {
            "Authorization": f"Bearer {api_key}"
        }
        self.audio_data = b''

    async def send_messages(self, websocket, messages):
        for message in messages:
            await websocket.send(json.dumps(message))

    async def handle_audio(self, websocket):
        while True:
            try:
                audio = await websocket.recv()
            except websockets.exceptions.ConnectionClosedOK:
                break
            message = json.loads(audio)

            if message['type'] == 'chunk':
              self.audio_data += base64.b64decode(message['data'])

            if message['type'] == 'timestamps':
                print("Rime model pronounced the words...\n")
                for w, t in zip(message['word_timestamps']['words'], message['word_timestamps']['start']):
                    print(f"'{w}' at time {t}")

    async def run(self, messages):
        async with websockets.connect(self.url, additional_headers=self.auth_headers) as websocket:
            await asyncio.gather(
                self.send_messages(websocket, messages),
                self.handle_audio(websocket),
            )

    def save_audio(self, file_path):
        with open(file_path, 'wb') as f:
            f.write(self.audio_data)
        print(f"\n Audio saved at {file_path}")


message = [
    {"text": "This "},
    {"text": "is "},
    {"text": "a "},
    {"text": "test "},
    {"operation":"clear"},
    {"text": "This "},
    {"text": "is "},
    {"text": "an "},
    {"text": "incomplete "},
    {"text": "sentence "},
    {"operation": "eos"},
]

client = RimeClient("astra", api_key="xxx")
asyncio.run(client.run(message))

client.save_audio("output.mp3")